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Energy-aware load monitoring for improving battery life of mobile peer-to-peer nodes
University of Oulu, Finland.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. ITMO University, Russia.ORCID iD: 0000-0002-9829-9287
University of Oulu, Finland.
University of Oulu, Finland.
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2016 (English)In: SUSTAINABLE COMPUTING-INFORMATICS and SYSTEMS, ISSN 2210-5379, Vol. 12, 43-54 p.Article in journal (Refereed) Published
Abstract [en]

In this article, we propose an energy -aware load monitoring model, called e-Mon, for enabling energy aware load balancing in Peer-to-Peer (P2P) systems. P2P is a scalable and self-organizing technology for utilizing computational resources of the end-user devices for the benefit of a computing system. In P2P systems, the need for fair balance of load is crucial since the end-users need to be incentivized to participate in the system. The short battery life, caused by additional strain on the computational resources of the end-user devices, is a significant negative incentive factor for mobile end-users of current P2P systems. The e-Mon model, proposed in this article, enables moving load from energy-critical to less energy-critical nodes in P2P systems. This is done by including the energy status of a peer node as one of the factors defining a nodes load. The model helps saving the energy of mobile P2P nodes, particularly in cases when the remaining battery capacity is low. The article provides a thorough energy efficiency evaluation demonstrating that e-Mon can significantly improve the battery life of mobile nodes by improving the quality and fairness of load balance between heterogeneous nodes. With a proper selection of a load balancing model for the application scenario, e-Mon is shown to achieve up to 470% battery life extension compared to the case with traditional load balancing with no battery monitoring. (C) 2016 Elsevier Inc. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2016. Vol. 12, 43-54 p.
Keyword [en]
Energy-efficiency; Load monitoring; Load balancing; Peer-to-peer systems; Distributed systems
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-134217DOI: 10.1016/j.suscom.2016.09.002ISI: 000391077700005OAI: oai:DiVA.org:liu-134217DiVA: diva2:1069795
Note

Funding Agencies|TEKES (Finnish Funding Agency for Innovation)

Available from: 2017-01-30 Created: 2017-01-29 Last updated: 2017-03-16

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
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