Distributed Computational Load Balancing for Real-Time Applications

Saurav Sthapit, James Hopgood, John Thompson

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

Abstract / Description of output

Mobile Cloud Computing or Fog computing refer to offloading computationally intensive algorithms from a mobile device to a cloud or a intermediate cloud in order to save resources (time and energy) in the mobile device. In this paper, we look at alternative solution when the cloud or fog is not available. We modelled sensors using network of queues and use linear programming to make scheduling decisions. We then propose novel algorithms which can improve efficiency of the overall system. Results show significant performance improvement at the cost of using some extra energy. Particularly, when incoming job rate is higher, we found our Proactive Centralised gives the best compromise between performance and energy whereas Reactive Distributed is more effective when job rate is lower.
Original languageEnglish
Title of host publication25th European Signal Processing Contribution (EUSIPCO 2017)
ISBN (Electronic)978-0-9928626-7-1
DOIs
Publication statusPublished - 31 Oct 2017
Event 25th European Signal Processing Conference (EUSIPCO) 2017 - Kos, Greece
Duration: 28 Aug 20172 Sept 2017
http://www.eusipco2017.org/

Publication series

Name
ISSN (Print)2076-1465

Conference

Conference 25th European Signal Processing Conference (EUSIPCO) 2017
Country/TerritoryGreece
CityKos
Period28/08/172/09/17
Internet address

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