Projects per year
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 language | English |
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Title of host publication | 25th European Signal Processing Contribution (EUSIPCO 2017) |
ISBN (Electronic) | 978-0-9928626-7-1 |
DOIs | |
Publication status | Published - 31 Oct 2017 |
Event | 25th European Signal Processing Conference (EUSIPCO) 2017 - Kos, Greece Duration: 28 Aug 2017 → 2 Sept 2017 http://www.eusipco2017.org/ |
Publication series
Name | |
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ISSN (Print) | 2076-1465 |
Conference
Conference | 25th European Signal Processing Conference (EUSIPCO) 2017 |
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Country/Territory | Greece |
City | Kos |
Period | 28/08/17 → 2/09/17 |
Internet address |
Fingerprint
Dive into the research topics of 'Distributed Computational Load Balancing for Real-Time Applications'. Together they form a unique fingerprint.Projects
- 1 Finished
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Signal Processing in the Networked Battlespace
Mulgrew, B., Davies, M., Hopgood, J. & Thompson, J.
1/04/13 → 30/06/18
Project: Research
Research output
- 1 Article
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Computational Load Balancing on the Edge in Absence of Cloud and Fog
Sthapit, S., Thompson, J., Robertson, N. M. & Hopgood, J. R., 1 Jul 2019, In: IEEE Transactions on Mobile Computing. 18, 7, p. 1499 - 1512 14 p.Research output: Contribution to journal › Article › peer-review
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