Distributed computational load balancing for real-time applications

Saurav Sthapit, James R. Hopgood, John Thompson

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

8 Citations (Scopus)

Abstract

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 publication2017 25th European Signal Processing Conference (EUSIPCO)
PublisherIEEE
Pages1189-1385
Number of pages197
ISBN (Print)978-1-5386-0751-0
DOIs
Publication statusPublished - 2 Sept 2017
Externally publishedYes
Event2017 25th European Signal Processing Conference (EUSIPCO) - Kos, Greece
Duration: 28 Aug 20172 Sept 2017

Conference

Conference2017 25th European Signal Processing Conference (EUSIPCO)
Country/TerritoryGreece
CityKos
Period28/08/172/09/17

Keywords

  • Cloud computing
  • Wireless fidelity
  • Signal processing algorithms
  • Cameras
  • Central Processing Unit
  • Sensors
  • Drones

Fingerprint

Dive into the research topics of 'Distributed computational load balancing for real-time applications'. Together they form a unique fingerprint.

Cite this