Abstract

We describe a distributed framework for resource sharing problems that we face in communications, microeconomics and various networking applications. In particular, we consider a hierarchical multi-layer decomposition for network utility maximization (NUM), where functionalities are assigned to different layers. The proposed methodology creates solutions having central management and distributed computations. The technique aims to respond to the dynamics of the network by decreasing the communication cost, while shifting more computational load to the edges of the network. The main contribution of this work is the provision of a detailed analysis under the assumption that the network changes are in the same time-scale with the convergence time of the algorithms used for local computations. For this scenario, assuming strong concavity and smoothness of the users' objective functions, we present convergence rates for each layer.

Original languageEnglish (US)
Title of host publication2018 IEEE Conference on Decision and Control, CDC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages178-183
Number of pages6
ISBN (Electronic)9781538613955
DOIs
StatePublished - Jan 18 2019
Event57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States
Duration: Dec 17 2018Dec 19 2018

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2018-December
ISSN (Print)0743-1546

Conference

Conference57th IEEE Conference on Decision and Control, CDC 2018
CountryUnited States
CityMiami
Period12/17/1812/19/18

Fingerprint

Resource Sharing
Multilayer
Decomposition
Decompose
Communication
Local Computation
Utility Maximization
Distributed Computation
Convergence Time
Concavity
Communication Cost
Networking
Convergence Rate
Costs
Smoothness
Time Scales
Objective function
Scenarios
Methodology

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Cite this

Karakoc, N., Scaglione, A., & Nedich, A. (2019). Multi-layer Decomposition of Optimal Resource Sharing Problems. In 2018 IEEE Conference on Decision and Control, CDC 2018 (pp. 178-183). [8619777] (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2018.8619777

Multi-layer Decomposition of Optimal Resource Sharing Problems. / Karakoc, Nurullah; Scaglione, Anna; Nedich, Angelia.

2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 178-183 8619777 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Karakoc, N, Scaglione, A & Nedich, A 2019, Multi-layer Decomposition of Optimal Resource Sharing Problems. in 2018 IEEE Conference on Decision and Control, CDC 2018., 8619777, Proceedings of the IEEE Conference on Decision and Control, vol. 2018-December, Institute of Electrical and Electronics Engineers Inc., pp. 178-183, 57th IEEE Conference on Decision and Control, CDC 2018, Miami, United States, 12/17/18. https://doi.org/10.1109/CDC.2018.8619777
Karakoc N, Scaglione A, Nedich A. Multi-layer Decomposition of Optimal Resource Sharing Problems. In 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 178-183. 8619777. (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2018.8619777
Karakoc, Nurullah ; Scaglione, Anna ; Nedich, Angelia. / Multi-layer Decomposition of Optimal Resource Sharing Problems. 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 178-183 (Proceedings of the IEEE Conference on Decision and Control).
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