Space-time scheduling for green data center networks

Tianyi Chen, Antonio G. Marques, Georgios B. Giannakis

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

Abstract

This paper puts forward a systematic approach to designing energy-aware traffic-efficient geographical load balancing schemes for data-center networks that are not only optimal, but also computationally efficient and amenable to distributed implementation. Under a stochastic optimization approach, we rely on decomposition techniques and develop a two-timescale algorithm that optimizes jointly workload and power balancing schemes across the network. Both delay-tolerant and interactive workloads are accommodated, and novel smart-grid features are incorporated to cope with renewables and energy storage units.

Original languageEnglish (US)
Title of host publicationConference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages795-799
Number of pages5
ISBN (Electronic)9781538639542
DOIs
StatePublished - Mar 1 2017
Event50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 - Pacific Grove, United States
Duration: Nov 6 2016Nov 9 2016

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
CountryUnited States
CityPacific Grove
Period11/6/1611/9/16

Bibliographical note

Funding Information:
Work in this paper was supported by NSF grants 1509040, 1508993, 1423316, 1442686, by Spanish MINECO Grant TEC2013-41604-R and CAM Grant S2013/ICE-2933.

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