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Edge user allocation with dynamic quality of service
conference contribution
posted on 2019-01-01, 00:00 authored by P Lai, Q He, G Cui, Xiaoyu Xia, Mohamed AbdelrazekMohamed Abdelrazek, Feifei ChenFeifei Chen, J Hosking, John Grundy, Y YangIn edge computing, edge servers are placed in close proximity to end-users. App vendors can deploy their services on edge servers to reduce network latency experienced by their app users. The edge user allocation (EUA) problem challenges service providers with the objective to maximize the number of allocated app users with hired computing resources on edge servers while ensuring their fixed quality of service (QoS), e.g., the amount of computing resources allocated to an app user. In this paper, we take a step forward to consider dynamic QoS levels for app users, which generalizes but further complicates the EUA problem, turning it into a dynamic QoS EUA problem. This enables flexible levels of quality of experience (QoE) for app users. We propose an optimal approach for finding a solution that maximizes app users’ overall QoE. We also propose a heuristic approach for quickly finding sub-optimal solutions to large-scale instances of the dynamic QoS EUA problem. Experiments are conducted on a real-world dataset to demonstrate the effectiveness and efficiency of our approaches against a baseline approach and the state of the art.
History
Event
Service-Oriented Computing. International Conference (17th : 2019 : Toulouse, France)Volume
11895Series
Lecture Notes in Computer SciencePagination
86 - 101Publisher
SpringerLocation
Toulouse, FrancePlace of publication
Cham, SwitzerlandPublisher DOI
Start date
2019-10-28End date
2019-10-31ISSN
0302-9743eISSN
1611-3349ISBN-13
9783030337018ISBN-10
3030337022Language
engPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
S Yangui, I Bouassida Rodriguez, K Drira, Z TariTitle of proceedings
Service-oriented computing : 17th International Conference, ICSOC 2019, Toulouse, France, October 28-31, 2019, ProceedingsUsage metrics
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