Big Data for Cyber-Physical Systems

Cyber-Physical Systems (CPS) are characterized by the deep complex intertwining among cyber components and physical components. Due to the fast increase in system complexities, the operations of CPS involve sensing, processing and storage of massive amount of data. This nature of “big data” imposes fundamental challenges on the design and management of CPS in multiple aspects such as performance, energy efficiency, security, privacy, reliability, sustainability, fault tolerance, scalability and flexibility. Tackling these challenges necessitates innovative big data techniques for handling massive data in CPS. This special issue will present the state-of-the-art research results on the topic of big data sensing, processing and storage for CPS, and stimulate a broad range of researchers to participate in the interdisciplinary CPS research in the future. The topics of interests for this special issue include, but are not limited to:

Submission Instructions

This special issue solicits original work not under consideration for publication in any other conference or journal. Authors need to prepare the manuscripts according to the guideline of IEEE Transactions on Big Data (TBD) at http://www.computer.org/web/tbd/author. Authors should submit their papers through the online manuscript portal system (https://mc.manuscriptcentral.com/tbd-cs) and select the right special issue. For more information, please contact the Guest Editor Professor Shiyan Hu at shiyan@mtu.edu.

Important Dates

July 15 August 12, 2016: Deadline for paper submissions
October 15, 2016: First round review decisions
December 15, 2016: Deadline for revised manuscripts
February 15, 2017: Notification of final decisions
March 15, 2017: Publication materials due

Guest Editors

Professor Shiyan Hu Michigan Technological University
Professor Xin Li Carnegie Mellon University
Professor Haibo He University of Rhode Island
Professor Shuguang Cui Texas A&M University
Professor Manish Parashar Rugters University

Support By

IEEE Technical Committee on CPS (www.ieee-cps.org).