Energy Saving Techniques Comparison for Green Computing in Cloud Server

Research output: Contribution to journalConference article

Abstract

- The IT industry has been revolutionized in the past few
decades. Cloud Computing companies (Google, Yahoo, Gaikai,
ONLIVE, Amazon and eBay) use large data centers which are
comprised of virtual computers that are placed globally and
require a lot of power cost to maintain. Demand for energy
consumption is increasing day by day in IT firms. Therefore,
Cloud Computing companies face challenges towards the
maintenance of power costs. Energy consumption is dependent
upon several factors, e.g., service level agreement, virtual
machine selection techniques, optimization policies, workload
types etc. We address a solution for the energy saving problem
by enabling dynamic voltage and frequency scaling technique for
gaming data centers. The dynamic voltage and frequency scaling
technique is compared against non-power aware and static
threshold detection techniques. This helps service providers to
meet the quality of service and quality of experience constraints
by meeting service level agreements. The CloudSim platform is
used for implementation of the scenario in which game traces are
used as a workload for testing the technique. Selection of better
techniques can help gaming servers to save energy cost and
maintain a better quality of service for users placed globally. The
novelty of the work provides an opportunity to investigate which
technique behaves better, i.e., dynamic, static or non-power
aware. The results demonstrate that less energy is consumed by
implementing a dynamic voltage and frequency approach in
comparison with static threshold consolidation or non-power
aware technique.
LanguageEnglish
Pages192
Number of pages201
JournalInternational Journal On Advances in Intelligent Systems
Publication statusPublished - 1 Dec 2018

Fingerprint

Energy conservation
Servers
Cloud computing
Quality of service
Costs
Industry
Electric potential
Consolidation
Energy utilization
Testing
Green computing
Voltage scaling
Dynamic frequency scaling

Keywords

  • dynamic streaming
  • Energy Saving Technique
  • Dynamic Frequency Scaling

Cite this

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title = "Energy Saving Techniques Comparison for Green Computing in Cloud Server",
abstract = "- The IT industry has been revolutionized in the past fewdecades. Cloud Computing companies (Google, Yahoo, Gaikai,ONLIVE, Amazon and eBay) use large data centers which arecomprised of virtual computers that are placed globally andrequire a lot of power cost to maintain. Demand for energyconsumption is increasing day by day in IT firms. Therefore,Cloud Computing companies face challenges towards themaintenance of power costs. Energy consumption is dependentupon several factors, e.g., service level agreement, virtualmachine selection techniques, optimization policies, workloadtypes etc. We address a solution for the energy saving problemby enabling dynamic voltage and frequency scaling technique forgaming data centers. The dynamic voltage and frequency scalingtechnique is compared against non-power aware and staticthreshold detection techniques. This helps service providers tomeet the quality of service and quality of experience constraintsby meeting service level agreements. The CloudSim platform isused for implementation of the scenario in which game traces areused as a workload for testing the technique. Selection of bettertechniques can help gaming servers to save energy cost andmaintain a better quality of service for users placed globally. Thenovelty of the work provides an opportunity to investigate whichtechnique behaves better, i.e., dynamic, static or non-poweraware. The results demonstrate that less energy is consumed byimplementing a dynamic voltage and frequency approach incomparison with static threshold consolidation or non-poweraware technique.",
keywords = "dynamic streaming, Energy Saving Technique, Dynamic Frequency Scaling",
author = "Bilal Ahmad and McClean, {Sally I} and D.K. Charles and G Parr",
year = "2018",
month = "12",
day = "1",
language = "English",
pages = "192",

}

Energy Saving Techniques Comparison for Green Computing in Cloud Server. / Ahmad, Bilal; McClean, Sally I; Charles, D.K.; Parr, G.

01.12.2018, p. 192.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Energy Saving Techniques Comparison for Green Computing in Cloud Server

AU - Ahmad, Bilal

AU - McClean, Sally I

AU - Charles, D.K.

AU - Parr, G

PY - 2018/12/1

Y1 - 2018/12/1

N2 - - The IT industry has been revolutionized in the past fewdecades. Cloud Computing companies (Google, Yahoo, Gaikai,ONLIVE, Amazon and eBay) use large data centers which arecomprised of virtual computers that are placed globally andrequire a lot of power cost to maintain. Demand for energyconsumption is increasing day by day in IT firms. Therefore,Cloud Computing companies face challenges towards themaintenance of power costs. Energy consumption is dependentupon several factors, e.g., service level agreement, virtualmachine selection techniques, optimization policies, workloadtypes etc. We address a solution for the energy saving problemby enabling dynamic voltage and frequency scaling technique forgaming data centers. The dynamic voltage and frequency scalingtechnique is compared against non-power aware and staticthreshold detection techniques. This helps service providers tomeet the quality of service and quality of experience constraintsby meeting service level agreements. The CloudSim platform isused for implementation of the scenario in which game traces areused as a workload for testing the technique. Selection of bettertechniques can help gaming servers to save energy cost andmaintain a better quality of service for users placed globally. Thenovelty of the work provides an opportunity to investigate whichtechnique behaves better, i.e., dynamic, static or non-poweraware. The results demonstrate that less energy is consumed byimplementing a dynamic voltage and frequency approach incomparison with static threshold consolidation or non-poweraware technique.

AB - - The IT industry has been revolutionized in the past fewdecades. Cloud Computing companies (Google, Yahoo, Gaikai,ONLIVE, Amazon and eBay) use large data centers which arecomprised of virtual computers that are placed globally andrequire a lot of power cost to maintain. Demand for energyconsumption is increasing day by day in IT firms. Therefore,Cloud Computing companies face challenges towards themaintenance of power costs. Energy consumption is dependentupon several factors, e.g., service level agreement, virtualmachine selection techniques, optimization policies, workloadtypes etc. We address a solution for the energy saving problemby enabling dynamic voltage and frequency scaling technique forgaming data centers. The dynamic voltage and frequency scalingtechnique is compared against non-power aware and staticthreshold detection techniques. This helps service providers tomeet the quality of service and quality of experience constraintsby meeting service level agreements. The CloudSim platform isused for implementation of the scenario in which game traces areused as a workload for testing the technique. Selection of bettertechniques can help gaming servers to save energy cost andmaintain a better quality of service for users placed globally. Thenovelty of the work provides an opportunity to investigate whichtechnique behaves better, i.e., dynamic, static or non-poweraware. The results demonstrate that less energy is consumed byimplementing a dynamic voltage and frequency approach incomparison with static threshold consolidation or non-poweraware technique.

KW - dynamic streaming

KW - Energy Saving Technique

KW - Dynamic Frequency Scaling

M3 - Conference article

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ER -