502 citations · 648 across the 20 of their papers we have counts for
4 papers · 1 filter
Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber-Physical Systems
Alex S. Leong, Arunselvan Ramaswamy, Daniel E. Quevedo +2
In many Cyber-Physical Systems, we encounter the problem of remote state estimation of geographically distributed and remote physical processes. This paper studies the scheduling o…
Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets
Stefan Schneider, Arnab Sharma, Holger Karl +1
For optimal placement and orchestration of network services, it is crucial that their structure and semantics are specified clearly and comprehensively and are available to an orch…
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling
Burak Demirel, Arunselvan Ramaswamy, Daniel E. Quevedo +1
We consider networked control systems consisting of multiple independent controlled subsystems, operating over a shared communication network. Such systems are ubiquitous in cyber-…
Joint Orchestration of Cloud-Based Microservices and Virtual Network Functions
Hadi Razzaghi Kouchaksaraei, Holger Karl
Recent studies show the increasing popularity of distributed cloud applications, which are composed of multiple microservices. Besides their known benefits, microservice architectu…