mdh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Towards energy-aware resource scheduling to maximize reliability in cloud computing systems
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1384-5323
School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran .
School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran .
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-6132-7945
2014 (English)In: Proc. - IEEE Int. Conf. High Perform. Comput. Commun., HPCC IEEE Int. Conf. Embedded Ubiquitous Comput., EUC, 2014, p. 1469-1479Conference paper, Published paper (Refereed)
Abstract [en]

Cloud computing has become increasingly popular due to deployment of cloud solutions that will enable enterprises to cost reduction and more operational flexibility. Reliability is a key metric for assessing performance in such systems. Fault tolerance methods are extensively used to enhance reliability in Cloud Computing Systems (CCS). However, these methods impose extra hardware and/or software cost. Proper resource allocation is an alternative approach which can significantly improve system reliability without any extra overhead. On the other hand, contemplating reliability irrespective of energy consumption and Quality of Service (QoS) requirements is not desirable in CCSs. In this paper, an analytical model to analyze system reliability besides energy consumption and QoS requirements is introduced. Based on the proposed model, a new online resource allocation algorithm to find the right compromise between system reliability and energy consumption while satisfying QoS requirements is suggested. The algorithm is a new swarm intelligence technique based on imperialist competition which elaborately combines the strengths of some well-known meta-heuristic algorithms with an effective fast local search. A wide range of simulation results, based on real data, clearly demonstrate high efficiency of the proposed algorithm. 

Place, publisher, year, edition, pages
2014. p. 1469-1479
Series
Proceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013
Keyword [en]
analytical model, cloud computing, energy-aware scheduling, quality of service, reliability, resource allocation
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-25721DOI: 10.1109/HPCC.and.EUC.2013.208ISI: 000356716900198Scopus ID: 2-s2.0-84903978085ISBN: 9780769550886 (print)OAI: oai:DiVA.org:mdh-25721DiVA, id: diva2:735475
Conference
15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013, 13 November 2013 through 15 November 2013, Zhangjiajie, Hunan
Available from: 2014-07-28 Created: 2014-07-25 Last updated: 2018-01-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Faragardi, Hamid RezaNolte, Thomas

Search in DiVA

By author/editor
Faragardi, Hamid RezaNolte, Thomas
By organisation
Embedded Systems
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 75 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf