Optimal Control of Distributed Computing Networks with Mixed-Cast Traffic Flows
Author(s)
Zhang, Jianan; Sinha, Abhishek; Llorca, Jaime; Tulino, Antonia; Modiano, Eytan H
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Distributed computing networks, tasked with both packet transmission and processing, require the joint optimization of communication and computation resources. We develop a dynamic control policy that determines both routes and processing locations for packets upon their arrival at a distributed computing network. The proposed policy, referred to as Universal Computing Network Control (UCNC), guarantees that packets i) are processed by a specified chain of service functions, ii) follow cycle-free routes between consecutive functions, and iii) are delivered to their corresponding set of destinations via proper packet duplications. UCNC is shown to be throughput-optimal for any mix of unicast and multicast traffic, and is the first throughput-optimal policy for non-unicast traffic in distributed computing networks with both communication and computation constraints. Moreover, simulation results suggest that UCNC yields substantially lower average packet delay compared with existing control policies for unicast traffic.
Date issued
2018-10Department
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems; Massachusetts Institute of Technology. Department of Aeronautics and AstronauticsJournal
IEEE Conference on Computer Communications (IEEE INFOCOM 2018)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Zhang, Jianan et al. "Optimal Control of Distributed Computing Networks with Mixed-Cast Traffic Flows." IEEE Conference on Computer Communications, April 2018, Honolulu, HI, USA, Institute of Electrical and Electronics Engineers, October 2018. © 2018 IEEE
Version: Author's final manuscript
ISBN
978-1-5386-4128-6