[Caml-list] FGCS SI: Emerging Trends, Issues and Challenges in Internet of Things, Big Data and Cloud Computing (due on June 30, 2017)

[Caml-list] FGCS SI: Emerging Trends, Issues and Challenges in Internet of Things, Big Data and Cloud Computing (due on June 30, 2017)

[Chang V.I.]

Dear colleagues,

My network has led 1 FGCS SI together with me. Hope you can consider. Deadline is May 5, 2017. Thanks.

https://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/special-issue-on-key-management-and-key-distribution-for-sec

Thanks and regards,

Victor

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Overview

Cloud computing has emerged as an important computing paradigm, enabling ubiquitous convenient on-demand access through Internet to shared pool of configurable computing resources. In this paradigm, software (applications, databases, or other data), infrastructure and computing platforms are widely used as services for data storage, management and processing. They provide a number of benefits, including reduced IT costs, flexibility, as well as space and time complexity. To benefit, however, from numerous promises cloud computing offers, many issues have to be resolved, including architectural solutions, performance optimization, resource virtualization, providing reliability and security, ensuring privacy, etc.

Another significant technology trend that nowadays is gaining increasing attention is Internet of Things (IoT). In IoT, intelligent and self configuring embedded devices and sensors are interconnected in a dynamic and global network infrastructure, enabling scalability, flexibility, agility and ubiquity in fields of massive scale multimedia data processing, storage, access and communications. IoT is driving new interest in Big Data, by generation of enormous amount of new types of data being generated by sensors and other input devices, which have to be stored, processed and accessed. The need to monitor, analyse and act upon these data brings many issues like data confidentiality, data verification, authorization, data mining, secure communication and computation.

The future development of cloud computing systems is more and more influenced by Big Data and IoT. There are research and industrial works showing applications, services, experiments and simulations in the Cloud that support the cases related to IoT, Big Data and Security. Cloud users and cloud service providers face a variety of new challenges like encrypted data search, share, auditing, key management security and privacy. There is also a need for protocols that facilitate big data streaming from IoT to the cloud and QoS.

This special issue encourages submissions related to all aspects of IoT, Big Data and Cloud Computing. In particular, it aims to examine the prospects and challenges that arise in conjunction with the trending topic in the field of Internet of Things and Big Data which are essential to comply with the necessities of modern cloud applications. Promoting the submission of the ongoing work with the existing important theoretical and practical results, along with position papers and case studies of already present verification projects, this special issue will highlight the art in this domain. As one of the goals, this special issue intends to convene researchers and practitioners to review the diverse range of features of security, privacy, trust and reliability in IoT and Cloud. It also examines significant theories, scrutinies technology enablers, formulates significant application and devise new methods to overcome the major problems that this research area poses.

The objective of this special issue is to capture the latest advances in research topics that include but are not limited to:

Big Data and IoT on the Cloud
IoT Services and Applications
Security, Privacy and Trust in IoT
Data Analysis and Visualization for IoT
Physical Security and Data Location
Data Mining
Big Data Security
Cloud Computing Platforms, Applications and Management
Cloud Security and Privacy Management
Mobile Cloud Computing
Services Computing
Hybrid Cloud Computing
Virtualization of Resources in Clouds
Energy Efficiency in Clouds
Data Storage in Clouds
Cloud Applications Performance and Monitoring
Sensor Networks, Remote Diagnosis and Development
Performance Evaluation and Modeling for IoT
Networking and Communication Protocols for IoT
Technological focus for Smart Environments
Data and Knowledge Management
Important Dates

Paper submission due: June 30, 2017
First-round acceptance notification: September 1, 2017
Revision: October 15, 2017
Final decision: December 15, 2017
Submission of final paper: January 15, 2018
Publication date: March, 2018

Submission Guideline

Paper submissions for the special issue should follow the submission format and guidelines for regular Elsevier Journal of Future Generation Computer Systems at https://www.evise.com/evise/jrnl/FGCS. All the papers will be peer-reviewed following the FGCS reviewing procedures. Guest editors will make an initial determination of the suitability and scope of all submissions. Papers that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review and the authors will be promptly informed in such cases. Authors should select “SI: Emerging IoTBDC” when they reach the “Article Type” step in the submission process. Up to two conference papers from SC2-2016 (http://grid.chu.edu.tw/sc2-2016) and up to two conference papers IoTDBS 2017 (http://www.iotbds.org) will be invited for extended and enhanced version for this special issue.  Extended conference contributions must have at least 50% difference from the original works (the authors must indicate the conference name and make the reference to the base conference paper).  We also welcome submission from anyone not related to these two conferences.

Guest Editors

Anna Kobusinska (Lead guest editor), Email: Anna.Kobusinska@cs.put.poznan.pl
Faculty of Computing,
Poznan University of Technology, Poland.

Raghavendra S, Email: raghush86@gmail.com
CEO, Arsker Technologies, India

Carson Leung, Email: Carson.Leung@cs.umanitoba.ca
Department of Computer Science,
University of Manitoba,
Winnipeg, MB, Canada.

Robert Hsu, Email: robertchh@gmail.com
Department of Computer Science and Information Engineering,
Chung Hua University, Taiwan.

Victor Chang, E-mail: ic.victor.chang@gmail.com
International Business School Suzhou,
Xi’an Jiaotong-Liverpool University, China.