A general framework for performance guaranteed green data center networking

Ting Wang; Yu Xia; Jogesh Muppala; Mounir Hamdi; Sebti Foufou

doi:10.1109/GLOCOM.2014.7037185

A general framework for performance guaranteed green data center networking

Ting Wang, Yu Xia, Jogesh Muppala, Mounir Hamdi, Sebti Foufou

HBKU College of Science and Engineering

Research output: Contribution to journal › Conference article › peer-review

13 Citations (Scopus)

Abstract

From the perspective of resource allocation and routing, this paper aims to save as much energy as possible in data center networks. We present a general framework, based on the blocking island paradigm, to try to maximize the network power conservation and minimize sacrifices of network performance and reliability. The bandwidth allocation mechanism together with power-aware routing algorithm achieve a bandwidth guaranteed tighter network. Besides, our fast efficient heuristics for allocating bandwidth enable the system to scale to large sized data centers. The evaluation result shows that up to more than 50% power savings are feasible while guaranteeing network performance and reliability.

Original language	English
Article number	7037185
Pages (from-to)	2510-2515
Number of pages	6
Journal	Proceedings - IEEE Global Communications Conference, GLOBECOM
DOIs	https://doi.org/10.1109/GLOCOM.2014.7037185
Publication status	Published - 2014
Event	2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States Duration: 8 Dec 2014 → 12 Dec 2014

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10.1109/GLOCOM.2014.7037185

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title = "A general framework for performance guaranteed green data center networking",

abstract = "From the perspective of resource allocation and routing, this paper aims to save as much energy as possible in data center networks. We present a general framework, based on the blocking island paradigm, to try to maximize the network power conservation and minimize sacrifices of network performance and reliability. The bandwidth allocation mechanism together with power-aware routing algorithm achieve a bandwidth guaranteed tighter network. Besides, our fast efficient heuristics for allocating bandwidth enable the system to scale to large sized data centers. The evaluation result shows that up to more than 50% power savings are feasible while guaranteeing network performance and reliability.",

author = "Ting Wang and Yu Xia and Jogesh Muppala and Mounir Hamdi and Sebti Foufou",

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AU - Xia, Yu

AU - Muppala, Jogesh

AU - Hamdi, Mounir

AU - Foufou, Sebti

PY - 2014

Y1 - 2014

N2 - From the perspective of resource allocation and routing, this paper aims to save as much energy as possible in data center networks. We present a general framework, based on the blocking island paradigm, to try to maximize the network power conservation and minimize sacrifices of network performance and reliability. The bandwidth allocation mechanism together with power-aware routing algorithm achieve a bandwidth guaranteed tighter network. Besides, our fast efficient heuristics for allocating bandwidth enable the system to scale to large sized data centers. The evaluation result shows that up to more than 50% power savings are feasible while guaranteeing network performance and reliability.

AB - From the perspective of resource allocation and routing, this paper aims to save as much energy as possible in data center networks. We present a general framework, based on the blocking island paradigm, to try to maximize the network power conservation and minimize sacrifices of network performance and reliability. The bandwidth allocation mechanism together with power-aware routing algorithm achieve a bandwidth guaranteed tighter network. Besides, our fast efficient heuristics for allocating bandwidth enable the system to scale to large sized data centers. The evaluation result shows that up to more than 50% power savings are feasible while guaranteeing network performance and reliability.

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JO - Proceedings - IEEE Global Communications Conference, GLOBECOM

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T2 - 2014 IEEE Global Communications Conference, GLOBECOM 2014

Y2 - 8 December 2014 through 12 December 2014

ER -

A general framework for performance guaranteed green data center networking

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