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Last Call For Papers - IEEE SOSE 2019 - NEW Deadline for Paper submission
by Zeyu Gao 01 Dec '18

01 Dec '18

*We are sorry if you received multiple CFPs for this.* ************************************************************************************************************************************************ *Last Call For Papers - IEEE SOSE 2019* *Important Dates* Paper Submission: *Dec. 14, 2018* Author Notification: *Jan 5, 2019* Camera-ready Submission and Conference Registration: *Jan 31, 2019* Conference: *Apr 4 - 9, 2019* http://www.ieeesose.net/index.html The 13th IEEE International Conference on Service-Oriented System Engineering April 4 - April 9, 2019 - DoubleTree by Hilton Hotel Newark-Fremont - Newark, California, USA Service-Oriented Computing exploits services as the fundamental elements of computer-based systems. It has been applied to various areas and promotes fundamental changes to the way software systems are being analyzed, architected, designed, implemented, tested, evaluated, delivered, consumed, maintained and evolved. Consequently, a new paradigm of software and system engineering discipline, i.e. Service-Oriented Engineering, has emerged and advanced rapidly in the past decade. Among many remarkable milestones in the development of this new paradigm are the wide adoption of the Micro-services architectural style supported by Docker and other container-based virtualization techniques in the design of cloud native application in the industry, and the DevOps movement in the organisation of development process supported by automated tools for continuous testing, continuous integration and continuous delivery. Recent advances in service oriented computing, in particular Internet-of-Things, Edge and Fog computing, mobile and cloud computing combined with Big Data analytics, robotics, block-chain and decentralized ledger applications, and application of artificial intelligence techniques, etc., have provided exciting opportunities to make significant progress in understanding and solving complex real-world challenges. Such challenges typically require a system-level approach that models a complex system at different levels of abstraction, helps to develop sound architectures for addressing separate system requirements and concerns, and integrates diverse sources of knowledge on the system’s components and their interactions. Therefore, the revolution of the software and system engineering paradigm brought by service-orientation is still unfolding, with each new technology development bringing new challenges and opportunities. Starting from 2005, SOSE is a pioneering IEEE sponsored international conference devoted to the research in engineering service-oriented systems. It covers all aspects of service-oriented engineering from architectures, techniques, tools and languages to methodologies. Continuing the tradition of the last twelve editions of SOSE Symposia, the 13th SOSE intends to provide a forum for researchers and practitioners to exchange latest observations, insights, achievements and visions in Service-Oriented System Engineering. SOSE 2019 invites original submissions in all the areas of the system engineering and software engineering methods, techniques, tools, applications, and experiments for software services. *Topics Of Interests* Regular Research Papers Research papers should be written in English and be no more than 10 pages in length. The topics include, but are not limited to, the following: - Track 1: Advanced Models for Service Engineering - *Microservices architecture, deployment and management* - *Serverless Computing* - *DevOps and service engineering* - *Model-driven development of service-oriented systems* - *End-user development and mashup of software services* - *Lifecycle models, reusability, and scalability for services* - *Coordination and cooperation of services* - *Efficient scheduling of services* - *Services infrastructure for big data* - Track 2: Computing Environments and Virtualization - *Container-based virtualization* - *Programming models, languages, tools and platforms* - *Architecture of Internet-based virtual computing environments* - *Security, dependability, and reliability* - *Trust, reputation and incentive mechanisms* - *Large scale computing and analytics* - Track 3: Methods, Languages & Tools for process-based SOC systems - *Business process integration, alignment & management in SOAs* - *Methods, languages & tools for building process-based SOC systems* - *Metrics and measurement of services, QoS, and QoE* - *Runtime verification, validation, monitoring* - *Dynamic service delivery, deployment and evolution* - *Service mobility, scalability, elasticity, and security* - *Operation and governance for large-scale service-oriented systems* - *Adaptation, control and optimization in service-oriented systems* - *Modernization, migration, and servicetization of legacy systems* - *Service-oriented system engineering for large-scale analytics* - *Service-oriented engineering and clouds* - Track 4: Service-based Cyber-Physical Systems - *Edge computing and fog computing* - *Software and system engineering for CPS* - *REST APIs and services for CPS* - *Mobile services for CPS* - *System modelling and simulations* - *Data management for CPS* - *Dependable network and system architectures for CPS* - Track 5: Intelligent Services for a Smart World - *Smart home, smart office, smart city, smart industry* - *Intelligent services architectures and provisioning models* - *Smart systems programming models and methodologies* - *Swarm intelligence* - *Context-aware services* - *Nature-inspired intelligent services* - *Knowledge representation and reasoning* - *Quality of data (QoD)* - Track 6: Social Networking Services - *Location-based social networks* - *Human mobility modeling and mining* - *Recommendation systems for service computing* - *Human-centric sensing* - *Intelligent socially-aware and community-aware systems* - *Security, privacy, safety and legal issues* - *Event detection and predication in social networks* *Industry Practice / Case Study Papers* SOSE 2019 encourages papers reporting on industrial practice, case studies, empirical research and practical experiences in service engineering. Industry papers and case studies should be between 6-10 pages in length. The topics include, but are not limited to, the following: - *Enterprise business architecture and solution frameworks* - *Platforms and tools for system and software engineering* - *Case studies, experiments and evaluation of service-oriented system* - *Innovative service applications and experiences* *Survey And Emerging Subjects Tutorial Papers* In addition to regular research paper and industry practice/case study papers, SOSE 2018 will also invite some tutorial papers, which review the state-of-the-art of the research on services engineering as well as the related emerging paradigms and technologies. These papers should summarize the recent research advance in service engineering from different perspectives, identify the open issues and future trends and challenges in the field. SOSE 2018 also encourages vision papers which discuss future and emerging issues, including emerging paradigms, technologies and applications. Papers should be no more than 10 pages in length. - *Theoretical and technical foundation of service-oriented systems* - *Methodology and engineering principles of service-oriented systems* - *Testing, verification, validation and QA in the development of service-oriented systems* - *Construction, deployment, operation and maintenance of service-oriented systems* - *Measurements and metrics of QoS in SOA-based application systems* - *Governance and policies in service-oriented software development* - *Engineering techniques and tools to support the publishing, discovery and composition of services* - *Architectural and detail designs of services and code generation of service software*

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Last Call for Papers - IEEE Mobile Cloud 2019 - Extended Deadline for Papers Submission
by Zeyu Gao 01 Dec '18

01 Dec '18

*We are sorry if you received multiple CFPs for this.* ************************************************************************************************************************************************ *Last Call for Papers - IEEE Mobile Cloud 2019* *Important Dates* Paper Submission: Dec. 14, 2018 Author Notification: Jan 5, 2019 Camera-ready Submission and Conference Registration: Jan 31, 2019 Conference: Apr 4 - 9, 2019 The 7th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering April 4 - April 9, 2019 - DoubleTree by Hilton Hotel Newark-Fremont - Newark, California, USA The integration of mobile computing and cloud services and engineering enables new applications that provide resources and services on an intelligent basis, process big data collected from mobile sensors, and support Internet of things (IoT) with massive cloud-based backend, where the 5G technology is expected to be an important enabler of this integration. Such applications will have tremendous impacts on almost every aspect of our daily life, including transportation, e-commerce, healthcare, safety and location privacy, smart home and smart city, social interaction, and many more. This conference will provide a great platform to allow researchers in academia and industry to share their latest research ideas and results, development activities, and the emerging industry technologies on mobile cloud computing, services, and engineering. The conference solicits original technical papers, not previously published and not currently under review for publication elsewhere. Papers will be judged on originality, significance, clarity, relevance, and correctness. Extended versions of the best papers will be invited for fast-track publication in a planned Special Issue on Mobile Cloud Computing. *Topics Of Interests* Topics of interest, embedded with the special interest on the annual theme, include, but are not limited to: - Theory, Modeling and Methodologies - Mobile cloud computing models, architectures, and platforms - Engineering on-demand mobile cloud systems and services - Design of energy-saving mobile cloud protocols - Cloud-IoT integration, cloud-centric IoT and software defined IoT - Mobile crowd sensing models and associated platforms - Mobile cloud resource management, provisioning, and migration - Mobile-aware cloud data management and data retrieval - Mobile cloud data centers, storage, and networking technologies for 5G - Mobile artificial intelligence, machine learning and deep learning - Virtualization techniques for mobile cloud computing and services - Security, reliability and privacy for mobile cloud computing - Applications and Industry Practice - Mobile multimedia and mobile social community services - Cloud-assisted human-centered applications based on wearable devices - Mobile commerce and cloud-based marketplace - Intuitive user interfaces for cloud-based mobile applications - Mobile cloud enabled pervasive learning and education - Research case studies and experimental reports - Industry reports on experience and lessons learned - Standardization on mobile clouds

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Last Call for Papers - IEEE AI Testing 2019 - Extended Deadline for Papers Submission
by Zeyu Gao 01 Dec '18

01 Dec '18

*We are sorry if you received multiple CFPs for this.* ************************************************************************************************************************************************ Last Call For Papers - IEEE AI Testing 2019 *Important Dates* Abstract submission: Dec. 7, 2018 Full paper submission: Dec. 21, 2018 12:00 AOE (firm) Notification: Feb. 15, 2019 (firm) Final Paper and Registration: Feb. 28, 2019 (firm) Conference: Apr 4 - 9, 2019 *http://www.ieeeaitests.com/index.html <http://www.ieeeaitests.com/index.html>* The First IEEE International Conference On Artificial Intelligence Testing (2019 IEEE AITest) Artificial Intelligence (AI) technologies are widely used in computer applications to perform tasks such as monitoring, forecasting, recommending, prediction, and statistical reporting. They are deployed in a variety of systems including driverless vehicles, robot controlled warehouses, financial forecasting applications, and security enforcement and are increasingly integrated with cloud/fog/edge computing, big data analytics, robotics, Internet-of-Things, mobile computing, smart cities, smart homes, intelligent healthcare, etc. However, the quality assurance of existing AI application development processes is still far from satisfactory and the demand for being able to show demonstrable levels of confidence in such systems is growing. Software testing is a fundamental, effective and recognized quality assurance method which has shown its cost-effectiveness to ensure the reliability of many complex software-systems. However，the adaptation of software testing to the peculiarities of AI applications remains largely unexplored and needs extensive research to be performed. On the other hand, the availability of AI technologies provides an exciting opportunity to improve existing software testing processes, and recent years have shown that machine learning, data mining, knowledge representation, constraint optimization, planning, scheduling, multi-agent systems, etc. have real potential to positively impact on software testing. Recent years have seen a rapid growth of interests in testing AI applications as well as application of AI techniques to software testing. It is, therefore, timely to provide an international forum for researchers and practitioners to exchange novel research results, to articulate the problems and challenges from practices, to deepen our understanding of the subject area with new theories, methodologies, techniques, processes models, etc., and to improve the practices with new tools and resources. This is the aim of the IEEE conference on AI Testing. *Topics Of Interest* The conference invites papers of original research on AI testing and reports of the best practices in the industry as well as the challenges in practice and research. Topics of interest include (but are not limited to) the following: - Testing AI applications - Methodologies for testing, verification and validation of AI applications - Process models for testing AI applications and quality assurance activities and procedures - Quality models of AI applications and quality attributes of AI applications, such as correctness, reliability, safety, security, accuracy, precision, comprehensibility, explainability, etc - Whole lifecycle of AI applications, including analysis, esign, development, deployment, operation and evolution - Techniques for testing AI applications - Test case design, test data generation, test prioritization, test reduction, etc - Metrics and measurements of the adequacy of testing AI applications - Test oracle for checking the correctness of AI application on test cases - Tools and environment for automated and semi-automated software testing AI applications for various testing activities and management of testing resources - Specific concerns of software testing with various specific types of AI technologies - Statistical machine learning and data mining - Symbolic machine learning, decision trees and random forests, reinforcement learning - Evolutionary methods and Genetic algorithms - Multi-agent systems - Heuristic search algorithms - Cognitive computing - Knowledge management, expert systems - Automatic reasoning and theorem proving - Constraint Programming and Constraint Optimization - Metaprogramming, high-order functions, high-order logic - Programming by example, programming synthesis, etc - Specific concerns of software testing for various types of AI applications - Computer vision and object recognition in image, audio and video - Personalized recommendation systems, and business intelligence - Driverless vehicles and autonomous robotics - Intelligent diagnostic systems - Decision-making support systems - Prediction and forecast systems - Smart cities, smart home, healthcare, and medicine, etc - Natural language processing, and intelligent human machine interactions, etc - Applications of AI techniques to software testing - Machine learning applications to software testing, such as test case generation, test effectiveness prediction and optimization, test adequacy improvement, test cost reduction, etc - Constraint Programming for test case generation and test suite reduction - Constraint Scheduling and Optimization for test case prioritization and test execution scheduling - Multi-agent systems for testing and test services - Crowdsourcing and swarm intelligence in software testing - Genetic algorithms, search-based techniques and heuristics to optimization of testing - Knowledge-based and expert systems for software testing - Data quality checking for AI applications - Testing and quality assurance for unstructured training data - Automatic validation tool for training unstructured data and big data - Large-scale unstructured data quality certification Submission Paper Submission We primarily invite submission of research papers, that describe original and significant work, but also papers which reports on case studies and empirical research. Papers must not be accepted for publication, or be under submission to another conference or journal. Each paper will be reviewed by at least three members of the Program Committee, using a single-blind reviewing procedure. All papers must be submitted electronically using the EasyChair conference system in PDF format. Each paper is limited to 8 pages including figures and references using IEEE Computer Society Proceedings (two columns, single-spaced, 10pt font). At least one of the authors of any accepted paper would have to register for the conference and confirm that she/he will present the paper in person.

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Last Call For Papers - IEEE BigDataService 2019
by Zeyu Gao 01 Dec '18

01 Dec '18

*We are sorry if you received multiple CFPs for this.* ************************************************************************************************************************************************ Last Call For Papers - IEEE BigDataService 2019 *Important Dates* Paper Submission Deadline: * Dec. 14, 2019 * Notification: *Jan. 10, 2019* Final Paper and Registration: *Jan. 31, 2019* Conference: * Apr. 4 - 9, 2019* http://www.big-dataservice.net/index.html The Fifth IEEE International Conference On Big Data Service And Applications April 4 – 9, 2019, San Francisco, USA Big-Data computing and services have received significant attention in recent years. The IEEE BigDataService 2019 aims to provide a forum for researchers and practitioners to exchange innovative ideas, latest research results, and practice experiences and lessons learned. Its major objectives include big-data applications in various domains such as healthcare, business and financing, education and learning, social networks and media, urban and environment, sensors and Internet of things as well as technology aspects of big data computing and services such as computing services and architecture, modeling, data mining and analytics. The conference will be co-located with *IEEE SOSE 2019 <http://www.ieeesose.net/>, IEEE Mobile Cloud 2019 <http://www.mobile-cloud.net/>, IEEE DAPPCON 2019 <http://www.dappcon.net/> **and** IEEE Artificial IntelligenceTesting 2019 <http://www.ieeeaitests.com/> * IEEE BigDataService 2019 will consist of main tracks and special tracks. The conference will include 3 International Workshops of *Smart City Big Data Analysis*, *Big Data in Water Resources, Environment, and Hydraulic from Engineering*, and *Industry Big Data and Signal Processing*. Workshop proposal is due 10/15/2018. The conference seeks the submission of high-quality papers limited to 10 pages (IEEE format) in length. All accepted papers will be included in the proceedings. Selected papers will be invited for extension and published in journals (SCI-Index). *TOPICS OF INTEREST (INCLUDE BUT NOT LIMITED TO)* - Big Data Foundations - Foundational theoretical or computational models for big data - Programming models, theories, and algorithms for big data - Standards, protocols, and quality assurance for big data - Big Data Platforms and Technologies - Innovative, concurrent, and scalable big data platforms - Data indexing, cleaning, transformation, and curation technologies - Big data processing frameworks and technologies - Big data services and application development methods and tools - Big data quality evaluation and assurance technologies - Big data system reliability and availability - Open-source development and technology for big data - Big Data as a Service (BDaaS) platform and technologies - Big Data Analytics and Services - Algorithms and systems for big data search, analytics and visualization - Artificial Intelligence for big data and based on big data - Visualization analytics for big data - Knowledge extraction, discovery, analysis, presentation, and visualization - Big Data Applications and Experiences - Innovative big data applications and services in industries and domains e.g. healthcare, finance, insurance, transportation, agriculture, education, environment, multi-media, social networks, urban planning, disaster management, security - Experiences and case studies of big data applications and services - Real-world and large-scale practices of big data - Emerging Topics - Sensor networks and Internet of Things - Networking and protocols - Smart City *SPECIAL TRACKS* - Special Track on Real-time Big Data Services and Applications - Models, algorithms, and technologies for real-time big data services and applications - Experiences, practices and case studies of real-time big data services and applications - Special Track on Big Data Security, Privacy and Trust - Models, algorithms and technologies for big data security and integrity - Practical security and privacy technologies and applications for big data - Special Track on Big Data and analytics for Healthcare - Models, algorithms, and technologies of big data for healthcare - Big data services and applications for healthcare - Experiences, practices and case studies of big data technologies for healthcare *Contact Information* Feel free to contact us for any questions or suggestions. *Simon Shim:* simon.shim(a)sjsu.edu *Fanjing Meng:* mengfj(a)cn.ibm.com

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[FGCS] Special Issue on Trusted Cloud-Edges Computations (Submission deadline extended to Jan 15, 2019)
by Claudio A. Ardagna 30 Nov '18

30 Nov '18

***Submission deadline extended to January 15th, 2019*** [Apologies if you receive multiple copies of this message] ****************************************************** Future Generation Computer Systems Special Issue on Trusted Cloud-Edges (CE) Computations ****************************************************** Current and future service-based software needs to remain focused towards the development and deployment of large and complex intelligent and networked information systems, required for internet-based and intranet-based systems in organizations, as well to move to IoT integration and big data analytics. Today, service-based software covers a very wide range of application domains as well as technologies and research issues. This has recently found realization through the integration of cloud computing and IoT, forming a revolutionary paradigm, cloud-assisted Internet of things (CoT), that enables intelligent and self-con?guring (smart) IoT devices to be connected with the cloud through the Internet. However, huge volume of data generated from real-world applications leads to the operation difficulty of CoT paradigm. More specifically, while billions of connected devices will generate exabytes of data every day, moving all the data from comparably resource-constrained IoT devices to the cloud becomes a big challenge. Hence, the centralized CoT model is undergoing a paradigm shift towards a decentralized model termed as edge computing, where local and distributed edge devices such as smartphones, smart gateways, and local PC with weaker capability than the centralized cloud can offer cloud-like service for only a limited group of devices. While the centralized cloud is still inevitable for the heavyweight computation needs, in this emerging Cloud-Edges (CE) paradigm, the cloud, together with local edge devices jointly offer services and intelligence. CE paradigm complements traditional CoT paradigm in terms of high scalability, low delay, location awareness, and instant local client computing capabilities. Nonetheless, due to the multiple and even highly distributed roles in CE paradigm, vital elements in such CE paradigm are the notions of trust, security, privacy and risk management among the cloud, edge devices, and end devices. This special issue solicits submissions from both academia and industry presenting novel research in the context of trusted Cloud-Edges (CE) computations, presenting theoretical and practical approaches to cloud, big data, IoT and edge computing trust, security, privacy and risk management. This special issue will provide a special focus on the intersection between cloud paradigm, big data analytics, IoT integration and edge computing, bringing together experts from the four communities to discuss on the vital issues of trust, security, privacy and risk management in cloud computing, shedding the light on novel issues and requirements in domains of big data, IoT, and edge computing. Potential contributions could cover new approaches, methodologies, protocols, tools, or verification and validation techniques. We also welcome review papers that analyze critically the current status of trust, security, privacy and risk management in the cloud, big data, IoT, and edge computing. Papers from practitioners who encounter trust, security, privacy, and risk management problems, and seek understanding are finally welcome. Best papers from the 7th International Symposium on Secure Virtual Infrastructures - Cloud and Trusted Computing (http://www.otmconferences.org/index.php/conferences/ctc-2018) will be also invited to submit to the special issue. The following themes are of particular interest: - Authentication, auditing and accountability in Cloud-Edges - Edge computing architectures and solution design patterns - Edge computing for IoT - Communication and networking protocols for Cloud-Edges - Fine-grained access control mechanism in Cloud-Edges - Privacy-preserving computation in Cloud-Edges - Trust and reputation issues in Cloud-Edges - Security architecture for Cloud-Edges - Key management in Cloud-Edges - IoT communication in Cloud-Edges - Data caching for big data in Cloud-Edges - Big data analytics in Cloud-Edges - Incentive models or techniques for data processing in Cloud-Edges - Privacy-Enhancing Cryptographic Techniques in Cloud-Edges - Secure Data Analysis and Private Learning - Outsourced or Verifiable Computation in Cloud-Edges - Secure Software-Defined Networking and Virtualization for in Cloud-Edges - Security for Crowdsourcing in Cloud-Edges IMPORTANT DATES - Manuscript Due: January 15, 2019 *FIRM* - First Review Notification: April 15, 2019 - Revised Manuscript: May 31, 2019 - Second Review Notification: June 30, 2019 - Second Revised Manuscript: July 31, 2019 - Camera Ready Paper Due: August 31, 2019 - Publication Date: Third Quarter of 2019 SUBMISSION GUIDELINES Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. Submission must be in the form of a PDF file and must be in English. All papers will be thoroughly peer-reviewed by independent reviewers and selected based on originality, scientific quality and relevance to the special issue. The journal editors will make final decisions about the acceptance of the papers. All submissions must be prepared according to the Guide for Authors available on FGCS homepage and submitted through the Editorial system (EVISE) located at https://www.evise.com/evise/jrnl/FGCS. Authors must select "VSI: Trusted Cloud-Edge Comp", from the "Choose Article Type" pull-down menu during the submission process at EVISE. GUEST EDITORS Claudio A. Ardagna University of Milan, Italy claudio.ardagna(a)unimi.it Mauro Conti University of Padova, Italy conti(a)math.unipd.it Ernesto Damiani Centre on Cyber-Physical Systems, Khalifa University, Abu Dhabi, UAE ernesto.damiani(a)kustar.ac.ae Chia-Mu Yu National Chung Hsing University, Taiwan chiamuyu(a)nchu.edu.tw

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[FCDS] S.I. On the Importance of Semantics in Big Data Integration, Storage, and Processing
by Fulvio Frati 30 Nov '18

30 Nov '18

S.I. On the Importance of Semantics in Big Data Integration, Storage, and Processing [Apologies if you receive multiple copies of this CfP] ---------------------------------------------------------------------------- --- FOUNDATIONS of COMPUTING and DECISION SCIENCES journal http://fcds.cs.put.poznan.pl/fcds2/ De Gruyter Publisher https://www.degruyter.com/view/j/fcds Indexed by: Clarivate Analytics - Emerging Sources Citation Index ---------------------------------------------------------------------------- --- SPECIAL ISSUE: On the Importance of Semantics in Big Data Integration, Storage, and Processing ---------------------------------------------------------------------------- --- Guest editors: ---------------------------------------------------------------------------- --- Paolo Ceravolo Universita' degli Studi di Milano, Italy Robert Wrembel Poznan University of Technology, Poland Aims: ---------------------------------------------------------------------------- --- The complexity of Big Data technologies and the variety of knowledge and skills needed to design Big Data applications have emphasized the relevance of systems for managing and documenting Big Data architectures. Documentation, reconfiguration, and verification are crucial tasks for a solid design of technological solutions, but are only partially supported in the current landscape of Big Data technologies. Rethinking data and metadata management in the context of Big Data technologies is then a primary goal for future research. Methods, principles, and perspectives developed by the Data Semantics community can significantly contribute to the aformentioned issues. Solutions for integrating and querying schema-less data, have received much attention. Standards for metadata management have been proposed to improve data integration among silos and to make data more discoverable and accessible through heterogeneous infrastructures. A further level of application of Data Semantics principles in Big Data technologies involves Representing Processes, i.e. the entire pipeline of technologies connected to achieve a specific solution and to make this representation shareable and verifiable to support a mature implementation of the Big Data production cycle. Following the manifesto paper "Big Data Semantics" (J. Data Semantics 7(2), 2018), which identified the important and yet unsolved issues of managing semantics of Big Data, we continue research on this topic. The aim of this special issue of FCDS is to promote research on Big Data semantics and to create a common place for sharing contributions to this topic. Topics of interest for submission include (but are not limited to): ---------------------------------------------------------------------------- --- Big Data Management Metadata Management Big Data Persistence and Preservation Big Data Quality and Provenance Control Big Data Storage and Retrieval Big Data Integration Architectures and Techniques Data Source Discovery Big Data Profiling and Semantics Discovery Querying Heterogeneous Big Data Repositories Caching and Materializing Query Results Quality of Big Data Services Big Data Service Performance Evaluation Big Data Service Reliability and Availability Reproducibility of Big Data Services Verifiability of Big Data Services Assurance in Big Data Services Big Data Visualization Real Time Visualisation Visualization Analytics for Big Data Big Social Media Mining Big Data Security and Privacy Big Data System Security and Integrity Big Data Information Security Privacy-Preserving Big Data Analytics Usable Security and Privacy for Big Data Performance of Big Data Architectures Query Optimization Optimal Selection of Analytics Physical Structures Timetable: ---------------------------------------------------------------------------- --- 20 Feb 2019 - paper submission 10 May 2019 - author notification 31 Jul 2019 - revision submission 31 Sep 2019 - final acceptance notification 10 Oct 2019 - camera-ready submission Submission information: ---------------------------------------------------------------------------- --- * Papers must be submitted via EasyChair using the following address: https://easychair.org/conferences/?conf=fcdsspecialissue2019 * We encourage using Latex, the FCDS template can be downloaded from: http://fcds.cs.put.poznan.pl/FCDS/Files/fcds.zip * Max number of pages: 28 in the FCDS style

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The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019)
by Massimo CAFARO 28 Nov '18

28 Nov '18

WPDM 2019 The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019) http://sara.unisalento.it/~cafaro/WPDM2019/ CALL FOR PAPERS The Third Workshop on Parallel and Distributed Data Mining (WPDM 2019) will be held in conjunction with The 19th International Conference on Computational Science and Its Applications (ICCSA 2019), http://www.iccsa.org Saint Petersburg University, Saint Petersburg, Russia July 1-4 2019 Final submission Deadline: February 17, 2019 SCOPE AND OBJECTIVES The Workshop on Parallel and Distributed Data Mining is an international forum which brings together researchers and practitioners working on different high-performance aspects of data mining algorithms, enabling novel applications. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. Therefore, there is an increasing interest in the design and implementation of parallel data mining algorithms. On parallel computers, by exploiting the vast aggregate main memory and processing power of processors and accelerators, parallel algorithms can easily address both the running time and memory requirement issues. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of data mining algorithms and applications. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance data mining algorithms and applications, and related topics. The WPDM Workshop topics include (but are not limited to) the following: - Parallel data mining algorithms using MPI and/or OpenMP - Parallel data mining algorithms targeting GPUs and many-cores accelerators - Parallel data mining applications exploiting FPGA - Distributed data mining algorithms - Benchmarking and performance studies of high-performance data mining applications - Novel programming paradigms to support high-performance computing for data mining - Performance models for high-performance data mining applications and middleware - Programming models, tools, and environments for high-performance computing in data mining - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above topics. Submitted papers must not have been published or simultaneously submitted elsewhere. The submitted paper must be between 10 to 16 pages long and formatted according to the Springer LNCS (Lecture Notes in Computer Science) rules, Guidelines and templates can be found at the url http://www.springer.com/it/computer-science/lncs/conference-proceedings-gui… To submit a paper, please connect to the Submission site from the link available at the ICCSA 2019 web site: http://ess.iccsa.org. Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. Please pay attention, when submitting your contribution to the workshop, to select the right entry in the listbox shown in the submission form. CONFERENCE POLICY By submitting the paper to ICCSA conference, all authors agree to abide by all ICCSA conference paper submission, publication and presentation policies. Namely, authors confirm that the work is original, has not appeared in literature in any form in the past and will not be submitted to any other venue concurrently with ICCSA submission or until it appears in ICCSA proceedings (in the case of acceptance). Furthermore, upon paper acceptance, authors agree to transfer copyright on the accepted paper to ICCSA, and one of the authors will register the paper and present the paper at the event. No paper withdrawals can be accepted after Conference pre-registration date or within three months of the actual event, whichever date comes first. Paper withdrawal request can be only accepted in writing through email, letter or fax to conference organizers. The conference has no responsibility for any intentional or accidental misuse, misinterpretation, or failure to follow above rules and conditions and holds no legal, civil or other responsibility for opinions, content or utilization of any methods/algorithms expressed in the Conference Proceedings. If you have any questions about paper submission or the workshop, please contact the workshop organisers. IMPORTANT DATES February 17, 2019: Deadline for paper submission March 31, 2019: Notification of Acceptance. May 8, 2019: Early-bird Registration ends. May 8, 2019: Submission deadline for the final version of the Papers July 1-4, 2019: ICCSA 2019 Conference WORKSHOP ORGANIZERS Massimo Cafaro University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: massimo.cafaro(a)unisalento.it Italo Epicoco University of Salento, Italy Phone: +39 0832 297235 Fax: +39 0832 297235 Email: italo.epicoco(a)unisalento.it Marco Pulimeno University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: marco.pulimeno(a)unisalento.it Giovanni Aloisio University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy Phone: +39 334 6501704 Fax: +39 0832 297235 Email: giovanni.aloisio(a)unisalento.it International Program Committee: All submitted papers will be reviewed by the workshop technical program committee members. Program Committee formation is pending and will be finalised shortly. - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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Call for Participation: HiPC 2018 (Bengaluru, India 17-20 December)
by Anand Panangadan 24 Nov '18

24 Nov '18

HiPC 2018 - For Release 20 November 2018 ----------------------------------------------------------------------------------------------- 25th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2018) December 17-20, 2018 Radisson Blu Hotel Bengaluru, India www.hipc.org SPECIAL ANNOUNCEMENT ABOUT PRE-CONFERENCE SATELLITE TUTORIALS The HiPC 2018 meeting will offer four tutorials covering topics of interest to the broader HPC and Data Science Communities. Two of the tutorials will be held on December 16th, the day before the conference begins. They are free but may require registration. See web for details. Satellite Tutorial 1: --FPGA-based Accelerated Cloud Computing (Xilinx) Satellite Tutorial 2: --Cloud Services for Performing Scientific Computing and Data Management (Microsoft) Conference Tutorials 3 and 4 (to be held on 20th December as part of conference) --HCLib: A Task based Parallel Programming Model --A Language and Framework for Prototyping and Experimenting with Edge Oriented IoT ------------------------------------------------------------------------------------------------ DESCRIPTION OF CONFERENCE PROGRAM HiPC 2018 is the 25th edition of the IEEE Conference on High Performance Computing, Data, and Analytics. It serves as a forum to present current work by top researchers in the field and to highlight the activities in Asia in the area of high performance computing and related scientific, engineering, and commercial applications. To mark the 25th anniversary of HiPC, a special lecture and several celebratory events are planned. TECHNICAL SESSIONS Thirty-three papers out of 149 submissions have been accepted for presentation at the conference (22% acceptance rate). The papers were submitted either to HPC tracks (Algorithms, Applications, Architecture and Software) or to Data Science tracks (Big Data Algorithms and Analytics, Big Data Systems and Software). Accepted papers will be presented in six technical sessions on days 2, 3 and 4: Learning, Graph Algorithms, GPUs, Linear Algebra and Fault Tolerance, Algorithms and Data Analysis, and Applications and System Tools. KEYNOTE SPEAKERS Day 2 - Balaraman Ravindran, Indian Institute of Technology, Madras Looking Under the Hood of Deep Neural Networks Day 3 - Marc Snir, University of Illinois at Urbana-Champaign The Future of Supercomputing Day 4 - Srini Devadas, Massachusetts Institute of Technology Secure High-Performance Computer Architectures: Challenges and Opportunities WORKSHOPS Complementing the main technical program, six workshops with programs and speakers that help to broaden the technical scope of the conference will be held on day 1 (December 17th) of the conference: 1: Parallel Fast Fourier Transform (PFFT) 2: Computational Fluid Dynamics (CFD) 3: Artificial Intelligence Meets Blockchain (AIMB) 4: Women in Data Science and High Performance Computing (WDSHPC) 5: Convergence of High Performance Computing and Artificial Intelligence (HPC&AI) 6: EduHiPC Workshop - Posters only STUDENT RESEARCH SYMPOSIUM The meeting will also host the 11th Student Research Symposium (SRS) aimed at fostering student research and providing a forum for students to present their work in all areas related to HPC and Data Science. Twenty-one papers have been accepted for poster presentation. ------------------------------------------------------------------------------------------------ Industry Research & User Symposium (IRUS) and Industry Exhibits The theme for this year’s IRUS is the Impact of Computational and Data Science technologies on emerging Digital Economy. The symposium will be held on 19th December and will contain 3 speakers from established as well as emerging players. On days 2 and 3, there will be a full program of industry exhibits and events. ------------------------------------------------------------------------------------------------ General Co-Chairs: Chiranjib Sur, Shell, India and Yinglong Xia, Huawei Research America, USA Program Chair, HPC: Olivier Beaumont, Inria, France Program Chair, Data Science: Srinivas Aluru, Georgia Institute of Technology, USA Steering Chair: Viktor K. Prasanna, University of Southern California, USA ------------------------------------------------------------------------------------------------ SPONSORSHIP HiPC is co-sponsored by IEEE Computer Society’s Technical Committee on Parallel Processing (TCPP) and the HiPC Trust, India In cooperation with ACM Special Interest Group on Algorithms and Computation Theory (SIGACT) ACM Special Interest Group on Computer Architecture (SIGARCH) IFIP Working Group on Concurrent Systems Manufacturers’ Association for Information Technology (MAIT) National Association of Software and Service Companies (NASSCOM) Industry sponsors & partners include: Microsoft (Titanium); Intel and Shell (Platinum); and Boston, Google, Infosys, NetApp, TATA, and Xilinx (Gold). Visit the HiPC website to see full listing of all industry partners and exhibitors.

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PETRA 2019 (June 5-7, 2019 - Greece) : Call for Papers and Workshop Proposals
by PETRA 19 Nov '18

19 Nov '18

[Image] Call for Workshop Proposals & Conference Papers: We invite you to submit workshops proposals by November 30, 2018. Workshops will be held in conjunction with PETRA'19. Authors are also invited to submit their original work as full, short, poster or workshop papers. The deadline for full and short papers is January 9, 2019. All submissions will be published with PETRA'19 proceedings in the ACM Digital Library as part of the ACM ICPS program. Submission Guidelines are available at here<http://petrae.org/submit-system.html>. Aim and Scope: PETRA is a highly interdisciplinary conference that focuses on computational and engineering approaches to improve the quality of life and enhance human performance in a wide range of settings, in the workplace, at home, in public spaces, urban environments, and other. Outcomes of this conference have a broad impact in application areas that include, manufacturing, transportation, healthcare, energy systems, security and safety, robotics, biomedicine, environment and conservation, and many others. Topics of Interest: Research areas of interest include, but are not limited to: (Extended List<http://petrae.org/cfp.html>) * Healthcare Informatics * Big Data Management * Data Privacy and Remote Health Monitoring * Games for Physical Therapy and Rehabilitation * User Interface Design and Usability * Reasoning Systems and Machine Learning * Affective Computing * Cyberlearning : Theory, Methods and Technologies * Human-Robot Interaction * Human-Centered Computing * Human monitoring * Haptics * Gesture and Motion Tracking * Cognitive Modeling * Wearable Computing * Interactions and the Internet of Things (IoT) Upcoming Deadlines * Workshop Proposals: November 30, 2018 * Conference Full/Short Papers: January 9, 2019 * Workshop Papers: February 25, 2019 * Conference Poster Papers: March 1, 2019 * Doctoral Consortium Applications: March 20, 2019 For any questions, please feel free to check our website www.petrae.org or contact us at petrae(a)uta.edu . Unsubscribe<http://petrae.org/unsubscribe.html> [Image] ********** To unsubscribe from this mailing list, please visit https://listserv.uta.edu/cgi-bin/wa.exe?TICKET=NzM3MDQ3IGNvbXB1dGF0aW9uYWwu…. **********

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CFP: SDM 2019 FEND Workshop, May 2-4, 2019, Alberta, Canada
by Kai Shu 18 Nov '18

18 Nov '18

Call for Papers Workshop on Data Mining for Fake news in Social Media: Propagation, Detection, and Mitigation (FEND'19), in conjunction with SDM'19 http://pike.psu.edu/fend19/ May 2-4, 2019, Alberta, Canada Social media has become a popular means to consume news. However, the quality of news on social media is lower than traditional news organizations. Because it is cheap to provide news online and much faster and easier to disseminate through social media, large volumes of fake news, i.e., those news articles with intentionally false information, are produced online for a variety of purposes, such as financial and political gain. The extensive spread of fake news can have severe negative impacts on individuals and society. First, fake news can break the authenticity balance of the news ecosystem. For example, it is evident that the most popular fake news was even more widely spread on Facebook than the most popular authentic mainstream news during the U.S. 2016 presidential election. Second, fake news intentionally persuades consumers to accept biased or false beliefs for political or financial gain. For example, in 2013, $130 billion in stock value was wiped out in a matter of minutes following an Associated Press (AP) tweet about an explosion that injured Barack Obama. AP said its Twitter account was hacked. Third, fake news changes the way people interpret and respond to real news, impeding their abilities to differentiate what is true from what is not. Therefore, itâ€™s critical to understand how fake news propagate, developing data mining techniques for efficient and accurate fake news detection and intervene in the propagation of fake news to mitigate the negative effects. The objectives of this workshop are: - Bring together researchers from both academia and industry as well as practitioners to present their latest problems and ideas; - Attract social media providers who have access to interesting sources of fake news datasets and problems but lack the expertise in data mining to use data effectively; - Enhance interactions between data mining, text mining, social media mining, and sociology and psychology communities working on problems of fake news propagation, detection, and mitigation. This workshop aims to bring together researchers, practitioners and social media providers for understanding fake news propagation, improving fake news detection in social media and mitigation. Topic areas for the workshop include (but are not limited to) the following: - User behavior analysis and characterization for fake news detection - Text mining â€“ mining news contents and user comments - Early fake news detection - Unsupervised fake news detection - Fact-checking - Tracing and characterizing the propagation of fake news and true news - Malicious account and bot detection, user credibility assessment - Visual analysis and exploration with images on the news - News event aggregation and detection - Building benchmark datasets for fake news detection in social media Paper Submission: Papers should be submitted as PDF, using the SIAM conference proceedings style, available at https://www.siam.org/Portals/0/Publications/Proceedings/soda2e_061418.zip?v…. Submissions should be limited to nine pages and submitted via CMT at https://cmt3.research.microsoft.com/FEND2019. Important Dates: Submission deadline: February 1, 2019 Notification: March 15, 2019 SDM pre-registration deadline: April 2, 2019 Camera ready: April 15, 2019 Conference dates: May 2-4, 2019 Shall you have any questions, please email to szw494(a)psu.edu or kai.shu(a)asu.edu. Workshop Organizers: Suhang Wang Penn State University, USA Dongwon Lee Penn State University, USA Huan Liu Arizona State University, USA

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