Special Issue on Scalable Cyber-Physical Systems

Cyber–Physical Systems (CPSs) 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. Among total 17 manuscripts submissions, we accepted 11 quality work via a careful peer-to-peer review process, which covered four dimensions of CPS, including CPS framework, attack detection systems in CPS, system state and access control, and CPS performance enhancement. First, in the dimension of the CPS framework, two papers were accepted. Paper 1: Xiang et al. in their paper entitled A CPS Framework based Perturbation Constrained Buffer Planning Approach in VLSI Design, propose an efficient, perturbation constrained buffer planning algorithm to maximize the candidate buffer holes with regarding to the feature of CPS based buffering design framework. Instead of directly moving buffers to the existing available buffer holes, the proposed algorithm changes the original placement to providemore flexibility for buffer insertion. The integer linear programming based technique is designed for the physical design flow which allows small moving range of gates. Paper 2: Hossain et al., in their paper entitled Cyber–Physical Cloud-Oriented Multi-Sensory Smart Home Framework for Elderly People: An Energy Efficiency Perspective, propose an energy-efficient cyber–physical smart home