Honeyguide

A VM migration-aware network topology for saving energy consumption in data center networks

Hiroki Shirayanagi, Hiroshi Yamada, Kenji Kono

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

26 Citations (Scopus)

Abstract

Network elements consume 10-20% of the total power in data centers. Today's network elements are not energy-proportional and consume constant energy 1 regardless of the traffic amounts. Thus, turning off unused network switches is the most efficient way of saving energy consumption of data center networks. This paper presents Honeyguide, an energy optimizer for data center networks that not only turns off inactive switches but also increases the number of inactive switches for energy-efficiency. To this end, Honeyguide combines two techniques: 1) virtual machine (VM) and traffic consolidation, and 2) a slight extension to existing tree-based topologies. Honeyguide has the following advantages. VM consolidation, which is gracefully combined with traffic consolidation, can handle severe requirements on fault tolerance. It can be introduced into existing data centers without replacing already-deployed tree-based topologies. Our simulation results demonstrate that Honeyguide can save more energy consumption of network elements than conventional VM migration schemes, and the savings are up to 7.8% in a fat tree with k 12.

Original languageEnglish
Title of host publicationProceedings - IEEE Symposium on Computers and Communications
Pages460-467
Number of pages8
DOIs
Publication statusPublished - 2012
Event17th IEEE Symposium on Computers and Communication, ISCC 2012 - Cappadocia, Turkey
Duration: 2012 Jul 12012 Jul 4

Other

Other17th IEEE Symposium on Computers and Communication, ISCC 2012
CountryTurkey
CityCappadocia
Period12/7/112/7/4

Fingerprint

Data Center
Virtual Machine
Network Topology
Consolidation
Energy Consumption
Migration
Energy utilization
Switches
Topology
Switch
Traffic
Fault tolerance
Oils and fats
Energy efficiency
Energy
Energy Efficiency
Fault Tolerance
Virtual machine
Directly proportional
Requirements

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Software
  • Mathematics(all)
  • Signal Processing

Cite this

Shirayanagi, H., Yamada, H., & Kono, K. (2012). Honeyguide: A VM migration-aware network topology for saving energy consumption in data center networks. In Proceedings - IEEE Symposium on Computers and Communications (pp. 460-467). [6249339] https://doi.org/10.1109/ISCC.2012.6249339

Honeyguide : A VM migration-aware network topology for saving energy consumption in data center networks. / Shirayanagi, Hiroki; Yamada, Hiroshi; Kono, Kenji.

Proceedings - IEEE Symposium on Computers and Communications. 2012. p. 460-467 6249339.

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

Shirayanagi, H, Yamada, H & Kono, K 2012, Honeyguide: A VM migration-aware network topology for saving energy consumption in data center networks. in Proceedings - IEEE Symposium on Computers and Communications., 6249339, pp. 460-467, 17th IEEE Symposium on Computers and Communication, ISCC 2012, Cappadocia, Turkey, 12/7/1. https://doi.org/10.1109/ISCC.2012.6249339
Shirayanagi H, Yamada H, Kono K. Honeyguide: A VM migration-aware network topology for saving energy consumption in data center networks. In Proceedings - IEEE Symposium on Computers and Communications. 2012. p. 460-467. 6249339 https://doi.org/10.1109/ISCC.2012.6249339
Shirayanagi, Hiroki ; Yamada, Hiroshi ; Kono, Kenji. / Honeyguide : A VM migration-aware network topology for saving energy consumption in data center networks. Proceedings - IEEE Symposium on Computers and Communications. 2012. pp. 460-467
@inproceedings{84c2ead27a314541843b07ff89f3b6c8,
title = "Honeyguide: A VM migration-aware network topology for saving energy consumption in data center networks",
abstract = "Network elements consume 10-20{\%} of the total power in data centers. Today's network elements are not energy-proportional and consume constant energy 1 regardless of the traffic amounts. Thus, turning off unused network switches is the most efficient way of saving energy consumption of data center networks. This paper presents Honeyguide, an energy optimizer for data center networks that not only turns off inactive switches but also increases the number of inactive switches for energy-efficiency. To this end, Honeyguide combines two techniques: 1) virtual machine (VM) and traffic consolidation, and 2) a slight extension to existing tree-based topologies. Honeyguide has the following advantages. VM consolidation, which is gracefully combined with traffic consolidation, can handle severe requirements on fault tolerance. It can be introduced into existing data centers without replacing already-deployed tree-based topologies. Our simulation results demonstrate that Honeyguide can save more energy consumption of network elements than conventional VM migration schemes, and the savings are up to 7.8{\%} in a fat tree with k 12.",
author = "Hiroki Shirayanagi and Hiroshi Yamada and Kenji Kono",
year = "2012",
doi = "10.1109/ISCC.2012.6249339",
language = "English",
isbn = "9781467327121",
pages = "460--467",
booktitle = "Proceedings - IEEE Symposium on Computers and Communications",

}

TY - GEN

T1 - Honeyguide

T2 - A VM migration-aware network topology for saving energy consumption in data center networks

AU - Shirayanagi, Hiroki

AU - Yamada, Hiroshi

AU - Kono, Kenji

PY - 2012

Y1 - 2012

N2 - Network elements consume 10-20% of the total power in data centers. Today's network elements are not energy-proportional and consume constant energy 1 regardless of the traffic amounts. Thus, turning off unused network switches is the most efficient way of saving energy consumption of data center networks. This paper presents Honeyguide, an energy optimizer for data center networks that not only turns off inactive switches but also increases the number of inactive switches for energy-efficiency. To this end, Honeyguide combines two techniques: 1) virtual machine (VM) and traffic consolidation, and 2) a slight extension to existing tree-based topologies. Honeyguide has the following advantages. VM consolidation, which is gracefully combined with traffic consolidation, can handle severe requirements on fault tolerance. It can be introduced into existing data centers without replacing already-deployed tree-based topologies. Our simulation results demonstrate that Honeyguide can save more energy consumption of network elements than conventional VM migration schemes, and the savings are up to 7.8% in a fat tree with k 12.

AB - Network elements consume 10-20% of the total power in data centers. Today's network elements are not energy-proportional and consume constant energy 1 regardless of the traffic amounts. Thus, turning off unused network switches is the most efficient way of saving energy consumption of data center networks. This paper presents Honeyguide, an energy optimizer for data center networks that not only turns off inactive switches but also increases the number of inactive switches for energy-efficiency. To this end, Honeyguide combines two techniques: 1) virtual machine (VM) and traffic consolidation, and 2) a slight extension to existing tree-based topologies. Honeyguide has the following advantages. VM consolidation, which is gracefully combined with traffic consolidation, can handle severe requirements on fault tolerance. It can be introduced into existing data centers without replacing already-deployed tree-based topologies. Our simulation results demonstrate that Honeyguide can save more energy consumption of network elements than conventional VM migration schemes, and the savings are up to 7.8% in a fat tree with k 12.

UR - http://www.scopus.com/inward/record.url?scp=84866631719&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84866631719&partnerID=8YFLogxK

U2 - 10.1109/ISCC.2012.6249339

DO - 10.1109/ISCC.2012.6249339

M3 - Conference contribution

SN - 9781467327121

SP - 460

EP - 467

BT - Proceedings - IEEE Symposium on Computers and Communications

ER -