Publication:
Price/cooling aware and delay sensitive scheduling in geographically distributed data centers

Placeholder

School / College / Institute

Organizational Unit

Program

KU Authors

Co-Authors

Publication Date

Language

Embargo Status

Journal Title

Journal ISSN

Volume Title

Alternative Title

Abstract

Servers in data centers consume large amount of energy which increase the operational cost for cloud service providers, that spend a major portion of their revenue to pay bills due to inefficient workload assignment and wastage of resources. In order to minimize the operational cost of data centers, it is essential to optimize the scheduling of the jobs. In this paper, we address the problem of inefficient cooling system, SLA violations due to network delays and processing delays in geographically distributed data centers. We propose scheduling algorithms that aim to minimize the cooling cost by exploiting the temperature variations within the data centers and electricity cost by taking advantage of time-space-varying fluctuation of electricity prices. SLA violations are aimed to be minimized by assigning jobs considering deadlines, network delays and queuing delays. Experiments conducted on CloudSim show that price/cooling aware and delay sensitive scheduling reduces the overall cost by 22% as compared to random scheduling.

Source

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer science, Hardware architecture, Information systems

Citation

Has Part

Source

Proceedings of the NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium

Book Series Title

Edition

DOI

10.1109/NOMS.2016.7502955

item.page.datauri

Link

Rights

Copyrights Note

Endorsement

Review

Supplemented By

Referenced By

0

Views

0

Downloads

View PlumX Details