*<< Sorry for Multiple Postings>*
*The Book Title: *Cloud and Fog / Edge Infrastructures for Data Science
*Editors*
*Pethuru Raj, *Cloud Architect, IBM Global Cloud Center of Excellence, Bangalore, India
*Anupama Raman, *Senior Consultant- Societe Generale Global Solution Center, Bangalore, India
Proposals Submission Deadline: Feb. 17, 2017
Full Chapters Due: July 30, 2017 Submission Date: August 30, 2017
*Introduction*
The surging popularity of the data science domain is definitely a positive pointer for sustaining the exciting journey of the world economy, which is increasingly digital, insightful, idea and API-driven. Data science is an interdisciplinary field that collectively leverages the distinguished and decisive contributions to machine learning (ML), statistics, Mathematics, computer science, and various analytical methods. It is a new form of art that draws out hidden knowledge in the form of value-adding patterns, associations, opportunities, possibilities, usable tips, actionable insights, predictions, decisions, actions, etc. However, we need highly optimized and organized IT infrastructures for automating the process of knowledge discovery and dissemination through the data science algorithms and methods. Cloud infrastructures (public, private and hybrid) are being touted as the most appropriate one for data science. For real-time data science, the recent model of fog/edge computing is being prescribed. That is, devices at the edge locations and user environments can be clubbed and clustered together in an ad hoc and on-demand fashion to create a kind of device clouds for performing data analytics quickly, easily and affordably. This book is being readied to tell all on the smart leverage of cloud and fog /edge infrastructures for achieving next-generation data science functionalities and facilities.
*Objective*
We have been fiddling with the programming era. We have programming languages and frameworks in plenty in order to precisely teach compute machines how to process, mining, and analyze data to squeeze out useful and usable information. But the next-generation systems and devices will be cognitive in the sense that they can be self-learning, training, modeling, understanding and reasoning in order to think, decide, interact, and do like humans. Previously we had to feed the data and program logic into the systems towards knowledge discovery. But cognitive systems, while ingesting data, contextualize and automate the process of generating personalized, predictive and prescriptive insights. That is, cognitive systems automatically analyze to exhibit intelligent behavior. Data science is the prominent field of study and research for bringing forth cognitive systems.
This book is primarily planned to empower our readers with all the right and relevant algorithms and tools on data science to sustain the cognitive journey. We would like to dig deeper and describe the infrastructural components such as software-defined clouds and fog device clouds for simplifying and streamlining the next-generation data science requirements. There will be chapters on cloud infrastructures (public, private and hybrid) and edge/fog infrastructures that facilitate the formation and sustenance of device clouds in order to have powerful data science facility in place.
*Target Audience*
· Data Science Researchers and Faculty Members
· Cloud Administrators, Architects and Consultants
· Data Scientist, Data Engineers, and Data Analysts
· Statisticians who want to use data science to derive useful inferences from data
· Big data professionals who are aspiring to use data science more efficiently for big data use cases
· Professionals in all industries who are aspiring to use data science in their respective domains for process efficiency cost optimization and so on
*Recommended Topics*
· Business Analytics
· Deterministic, Diagnostic and prognostic Analytics
· Predictive Analytics
· Prescriptive Analytics
· Cognitive Analytics
· Data Mining Algorithms
· Machine Learning Algorithms
· Deep Learning Algorithms
· Domain-specific Analytics (Retail, healthcare, energy, and utility, manufacturing, government, oil and gas, logistics and transports, banking and Insurance, Automotive electronics and avionics, Life science, metals and mining, Communication, Entertainment, Infotainment, etc.)
· Big, Fast, Streaming and IoT Analytics and Applications
· Text, Images and Video Analytics
· Microservices Architecture (MSA) and Event-driven Architecture (EDA)
· RESTful Cloud Services
· Software-defined Cloud Infrastructures (public, private and hybrid)
· Edge / Fog Infrastructures
· Cloud Orchestration and Brokerage Services
· Integrated Platforms, Middleware, and Databases for Data Science (Open Source as well as Commercial-grade)
· Data Virtualization and Integration Tools and Platforms
· Knowledge Visualization Dashboards and Engines and Report-Generation Tools
· The Internet of Things (IoT) Edge Data Analytics
· Artificial Intelligence (AI) and Neural Networks (NN)
· Natural Language Processing (NLP)
*Submission Procedure*
Researchers and practitioners are invited to submit on or before *February 17, 2017*, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by *February 28, 2017*, about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by *July 31, 2017*, and all interested authors must consult the guidelines for manuscript submissions at http://www.igi-global.com/ publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
*Note:* There are no submission or acceptance fees for manuscripts submitted to this book publication, All manuscripts are accepted based on a double-blind peer-review editorial process.
All proposals should be submitted through the E-Editorial DiscoveryTM online submission manager.
*The Book Publisher*
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2017.
*Important Dates*
*February 17, 2017:* Proposal Submission Deadline
*February 28, 2017*: Notification of Acceptance *July 31, 2017*: Full Chapter Submission *August 30, 2017:* Review Results Returned *September 30, 2017*: Final Acceptance Notification *October 31, 2017*: Final Chapter Submission
*Any Inquiries*
Pethuru Raj (peterindia@gmail.com)
Anupama Raman (muralianu2001@gmail.com)
For more information, please visit this page
http://www.igi-global.com/publish/call-for-papers/call-details/2559
Thanks and regards
peter Pethuru Raj PhD Infrastructure Architect IBM Global Cloud Center of Excellence IBM India, Bangalore 560045 *Personal Web Site*: www.peterindia.net *Linkedin Page*: http://www.linkedin.com/in/peterindia