Decentralized and Dispersed Computing for Cyber-Physical Systems
Abstract: Cyber-Physical Systems (CPS) increasingly rely on decentralized and dispersed computing to operate effectively in distributed and heterogeneous environments. Decentralized computing enables operation across trust boundaries, while dispersed computing facilitates efficient workload distribution across networked edge and cloud resources.
I will discuss recent research on these paradigms in the context of CPS. Topics include Byzantine fault-tolerant consensus for resource-constrained environments, decentralized publish-subscribe systems, and smart contract mechanisms for secure peer-to-peer transactions. Additionally, we will examine the role of decentralized data marketplaces in enabling secure and efficient data exchange for CPS applications. On the dispersed computing front, we will explore workload orchestration across diverse computing resources, graph-based scheduling techniques for optimizing task placement, and parametric approaches to task graph scheduling. 


Bio: Bhaskar Krishnamachari is Ming Hsieh Systems Professor of Electrical and Computer Engineering at the USC Viterbi School of Engineering. His research spans the design and evaluation of algorithms and protocols for wireless networks, distributed systems, and the internet of things. He is the co-author of more than 300 technical papers, and 3 books, that have been collectively cited more than 35,000 times. He has co-authored papers that have received awards at ACM/IEEE IPSN, ACM Mobicom, and IEEE VNC. He is the recipient of the NSF CAREER Award, and has been featured in MIT Technology Review's TR-35 and Popular Science's Brilliant 10 lists. He is an IEEE Fellow.