-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP: Journal of Parallel and Distributed Computing, special issue on "Scalable Cyber-Physical Systems", Deadline: June 30, 2016 Datum: Mon, 30 May 2016 06:20:31 +0000 Von: Gai, Keke kg71231w@PACE.EDU Antwort an: Gai, Keke kg71231w@PACE.EDU An: tccc-announce@COMSOC.ORG
CFP: Journal of Parallel and Distributed Computing, special issue on "Scalable Cyber-Physical Systems"
Cyber-Physical Systems (CPS) are characterized by the strong interactions among cyber components and dynamic physical components. CPS is expected to play a major role in the development of next-generation smart energy systems, especially for the large scale power systems. Due to the deeply complex intertwining among different components, CPS poses fundamental challenges in multiple aspects, such as real-time data processing, distributed computing, data sensing and collection, and efficient parallel computing. Innovative technologies addressing CPS challenges in smart energy systems, such as the fast growth in system scale and complexity, the distributed control and real-time interaction between dynamic environments and physical systems, and the efficiency issues in smart homes, buildings, communities and connected vehicle systems together with their reliability, are highly desirable. In particular, studying the merging and communication between information-centric and node-centric systems from a CPS perspective is extremely promising.
This special issue aims to gather recent research work in design/development of scalable computing systems for smart energy CPSs and discuss, evaluate, and improve the novel approaches of energy-aware CPSs. Our primary focus is to address novel power saving mechanisms in CPS, advanced deployments for large scaled CPS, energy-aware solutions for heterogeneous CPS, and new efficient lower power strategy of CPS.
Topics of particular interest include, but are not limited to:
* Architectural framework for distributed CPS * Resource Management in large scale CPS * Design methodologies for smart energy systems as cyber-physical systems * Smart home, building, community system designs * Interactions between smart home/building/community/transportation systems and grids * Renewable energy integration with smart energy CPS * Real time operations of smart energy systems and interactions with grid * Cross-layer modeling and optimization for smart energy CPS * Novel mechanisms for Plug-in Hybrid and Battery Electric Vehicles * New Vehicle-to-Grid (V2G) strategies in CPS * Distributed power management systems in large scale CPS * Advanced schemes of maximizing asset utilizations and efficiency enhancement * Efficient state estimation techniques in CPS * Emerging models of distributed energy systems in CPS * Lower-power heterogeneous computing for distributed CPS
Submission Format The submitted papers must be written in English and describe original research which is not published nor currently under review by other journals or conferences. Author guidelines for preparation of manuscript can be found at http://www.elsevier.com/journals/journal-of-parallel-and-distributed-computi...
Submission Guidelines All manuscripts and any supplementary material should be submitted through Elsevier Editorial System (EES). The authors must select “SI: Scalable CPS” when they reach the "Article Type" step in the submission process. The EES website is located at: http://ees.elsevier.com/jpdc/
Guide for Authors This site will guide you stepwise through the creation and uploading of your article. The guide for Authors can be found on the journal homepage (http://www.journals.elsevier.com/journal-of-parallel-and-distributed-computi...).
Important Dates First submission expected: March 15, 2016 Submission deadline: June 30, 2016 Acceptance deadline: December 15, 2016
Guest Editors Professor Meikang Qiu, Pace University, mqiu@pace.edumailto:mqiu@pace.edu Dr. Saurabh Garg, University of Tasmania, saurabh.kr.garg@gmail.commailto:saurabh.kr.garg@gmail.com Professor Rujkumar Buyya, University of Melbourne, rbuyya@unimelb.edu.aumailto:rbuyya@unimelb.edu.au Professor Bei Yu, Chinese University of Hong Kong, byu@cse.cuhk.edu.hkmailto:byu@cse.cuhk.edu.hk Professor Shiyan Hu, Michigan Technological University, shiyan@mtu.edumailto:shiyan@mtu.edu
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