The 22th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022) in conjunction with the 6th IEEE International Conference on Fog and Edge Computing (ICFEC 2022)

May 16-19, 2022, Taormina, Sicily, Italy*

http://fcrlab.unime.it/ccgrid22/ < https://protect-au.mimecast.com/s/10-2CP7yBlsK1JVo5fzWQup?domain=fcrlab.unim...

Sponsored by: IEEE Computer Society / Technical Committee on Scalable Computing ACM SIGARCH

Hosted/Organised by:

* University of Messina, Italy * Cardiff University, UK * University of Klagenfurt, Austria * Ohio State University, USA * Future Computing Research LAB (FCRLAB), Italy

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*The safety and well-being of all conference participants is our priority. The CCGrid organizers are closely monitoring the developments of COVID-19.

Call For Papers

The 22nd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022) is a leading forum to disseminate and discuss research activities and results on a broad range of topics in distributed systems, ranging from computing Clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog/Edge Computing for Internet of Things (IoT)/Big Data applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2022 conference.

We solicit original contributions on all aspects of distributed systems and applications in the context of Cluster, Cloud, and Internet computing environments. Specific topics of interest include but are not limited to the following:

Track 1: Future Internet computing systems Topics in the track: - Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming, Highly decentralized approaches to cloud computing. Edge/Fog computing, sensor data streaming and computation on the edges of the network. Function as a Service (Faas), Backend as a Service (BaaS), serverless computing, lambda computing. - Future Internet: 5G/6G and Use cases of 5G/6G system. Software defined networking and 5G/6G. 5G/6G cyber security challenges and concerns Machine learning algorithms for 5G/6G systems; - Osmotic Computing: Cloud Continuum with Osmosis behaviors, Micro Services and MicroData, Software Defined Membranes; - Cloud-Economics: Trustworthiness of services, ecosystem economics, innovative metering, accounting, and billing methods and tools, automated trading and bidding support tools, performance monitoring, optimization, prediction, energy efficiency, sustainability, decision support systems.

Track 2: Programming models and runtime systems Topics in the track: - Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems.

Track 3: Distributed middleware and network architectures Topics in the track: - Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service composition and orchestration. Software-Defined Network-enabled Systems. Micro-datacenter, cloudlet, edge, or fog computing infrastructure. Virtualized hardware: GPUs, tensor processing units, FPGAs; - Cloud-to-Things continuum: Service provisioning and monitoring in a Cloud-to-Things environment; Resource elasticity in Cloud-to-Things contexts; Algorithms and systems for automated elasticity; Blockchain-based resource orchestrator; Machine learning techniques for resource orchestration; Security policies in Cloud-to-Things.

Track 4: Storage and I/O systems Topics in the track: - Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge.

Track 5: Security, privacy, trust and resilience Topics in the track: - Cyber-Security, Privacy and Resilient Distributed Systems: Distributed. Systems security and trust Access control. Data privacy and integrity.. Regulation. Resiliency of service attacks.

Track 6: Performance modeling, scheduling, and analysis Topics in the track: - Resource Management and Scheduling: Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques; - Performance Modelling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance.

Track 7: Sustainable and green computing Topics in the track: - Sustainable and Green Computing: Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness.

Track 8: Scientific and industrial applications Topics in the track: - Applications: Data Science, Artificial Intelligence, Machine Learning, Cyber-Physical Systems, e-Health, Internet of Things (IoT)-enabled Smart Systems and Applications; - Digital Twins: Digital Twins and Industry 4.0. Digital Twins and emerging technologies linked to IoT Platforms. Digital Twin the virtual replica of a physical entity.

Track 9: Artificial intelligence, Machine Learning and Deep Learning Topics in the track: - Artificial Intelligence: Large Scalable Machine Learning, AI at the Edge and in the Cloud. Cognitive computing; - Machine learning: deep learning, statistical learning, natural language processing, computer vision, data mining, multiagent systems, knowledge representation; - Applicative domains: healthcare, sustainability, transportation, commerce,neuroscience and cognitive science; - Quantum machine learning.

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Paper Submission: ================= Authors are invited to submit papers electronically through the following link: https://fcrlab.unime.it/ccgrid22/paper-submission/ < https://protect-au.mimecast.com/s/nR_HCQnzDmsk1JZ3NCP0BrY?domain=fcrlab.unim...

Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the conference chairs for more information. The proceedings will be published through the IEEE Press, USA and will be made online through the IEEE and ACM Digital Libraries.

Important Dates: ================== Timezone: Anywhere in the world! Paper Due (Abstract): 24 November 2021 (Final paper submission: 01 December 2021) Full Paper Due: 01 December 2021 Acceptance Notification: 04 February 2022 Camera Ready Papers Due: 06 March 2022

Best Paper Awards: ================== CCGrid will present Best Paper Awards to the author(s) of top three papers selected by the Program Committee. The award will be determined based on review comments and ratings, viewpoints of the technical and scientific merits, impact on the science and engineering of the research work and the clarity of presentation of the research contents in the paper.

Journal Special Issue: ====================== Highly top rated papers from the CCGrid 2022 conference will be invited for submission of extended version for publication in one of the following special issues: - "Software: Practice and Experience" Journal published by Wiley Press; - "Green Communications via Optimization Techniques" for Sustainable Computing: Informatics and Systems published by Elsevier.

General Co-Chairs: ================== Massimo Villari, University of Messina , Italy Omer Rana , Cardiff University, UK

Program Committee Co-Chairs: ============================= Maria Fazio, University of Messina, Italy Radu Prodan University of Klagenfurt Austria Dhabaleswar K. (DK) Panda Ohio State University. USA

Workshop Co-Chairs: ============================== Haiying Shen, University of Virginia, USA Antonio Celesti, University of Messina, Italy

Publicity Co-Chairs: ============================== Jithin Jose, Microsoft, USA Bahman Javadi, Western Sydney University, Australia Ching-Hsien Hsu, National Chung Cheng University, Taiwan Carlos Westphall, Federal University of Santa Catarina, Brazil Zhicheng Cai, Nanjing University of Science and Technology, China Helene Coullon, Inria, France Sukhpal Singh Gill, Queen Mary University of London, UK Antonino Galletta, University of Messina, Italy

Vice Chairs: ============================== Track 1: Future Internet computing systems: Hai Jin, Huangzong University of Science and Technology, China Lydia Y. Chen, TU Delft, Netherlands Track 2: Programming models and runtime systems: Taisuke Boku, University of Tsukuba, Japan Martin Schulz, Technical University of Munich, Germany Track 3: Distributed middleware and network architectures: Nectarios Koziris, National Technical University of Athens, Greece Hari Subramoni, Ohio State University, USA Track 4: Storage and I/O systems: Suren Byna, Lawrence Berkeley National Laboratory, USA Maria S. Perez, Universidad Politecnica de Madrid, Spain Track 5: Security, privacy, trust and resilience: Erman Ayday, Case Western Reserve University, USA Richard Sinnott, University of Melbourne, Australia Track 6: Performance modeling, scheduling, and analysis: Sameer Shende, University of Oregon, USA Ana Lucia Varbanescu, University of Amsterdam, Netherlands Track 7: Sustainable and green computing: Young Choon Lee, Macquarie University, Australia Wu Feng, Virginia Tech, USA Track 8: Scientific and industrial applications: Vipin Chaudhary, Case Western Reserve University, USA Dana Petcu, West University of Timisoara, Romania Track 9: Artificial intelligence, Machine Learning and Deep Learning: Manish Parashar, University of Utah, USA Ashiq Anjum, University of Leicester, UK

CCGrid Steering Committee: ========================= Henri Bal, Vrije University, The Netherlands Pavan Balaji, Argonne National Laboratory, USA Rajkumar Buyya, University of Melbourne, Australia Franck Capello, University of Paris-Sud, France Jesus Carretero, Universidad Carlos III de Madrid, Spain Ewa Deelman, University of Southern California/ISI, USA Marios Dikaiakos, University of Cyprus, Cyprus Jack Dongarra, University of Tennessee & ORNL, USA Tarek El-Ghazawi, George Washington University, USA Dick Epema, Technical University of Delft, The Netherlands Thomas Fahringer, University of Innsbruck, Austria Ian Foster, University of Chicago, USA Wolfgang Gentzsch, UberCloud, Germany Hai Jin, Huazhong University of Science & Technology, China Craig Lee, The Aerospace Corporation, USA Laurent Lefevre, INRIA, France Manish Parashar, Rutgers: The State University of New Jersey, USA Shikharesh Majumdar, Carleton University, Canada Satoshi Matsuoaka, Tokyo Institute of Technology, Japan George Pallis, University of Cyprus, Cyprus Dhabaleswar K Panda, The Ohio State University, USA Omer Rana, Cardiff University, UK Paul Roe, Queensland University of Technology, Australia Bruno Schulze, LNCC, Brazil Yogesh Simmhan, Indian Institute of Science, India Xian-He Sun, Illinois Institute of Technology, USA Nalini Venkatasubramanian, University of California, USA Carlos Varela, Rensselaer Polytechnic Institute, USA. Massimo Villari, University of Messina, Italy Cho-Li Wang, University of Hong Kong, China Cheng-Zhong Xu, University of Macau, China

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