Article (Scientific journals)
Joint Data Compression and Computation Offloading in Hierarchical Fog-Cloud Systems
Nguyen, Ti Ti; Ha, Vu Nguyen; Le, Long Bao et al.
2019In IEEE Transactions on Wireless Communications
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Keywords :
Fog computing; computation offloading; data compression
Abstract :
[en] Data compression (DC) has the potential to significantly improve the computation offloading performance in hierarchical fog-cloud systems. However, it remains unknown how to optimally determine the compression ratio jointly with the computation offloading decisions and the resource allocation. This optimization problem is studied in this paper where we aim to minimize the maximum weighted energy and service delay cost (WEDC) of all users. First, we consider a scenario where DC is performed only at the mobile users. We prove that the optimal offloading decisions have a threshold structure. Moreover, a novel three-step approach employing convexification techniques is developed to optimize the compression ratios and the resource allocation. Then, we address the more general design where DC is performed at both the mobile users and the fog server. We propose three algorithms to overcome the strong coupling between the offloading decisions and the resource allocation. Numerical results show that the proposed optimal algorithm for DC at only the mobile users can reduce the WEDC by up to 65% compared to computation offloading strategies that do not leverage DC or use sub-optimal optimization approaches. The proposed algorithms with additional DC at the fog server lead to a further reduction of the WEDC.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Nguyen, Ti Ti
Ha, Vu Nguyen  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Le, Long Bao
Schober, Robert
External co-authors :
yes
Language :
English
Title :
Joint Data Compression and Computation Offloading in Hierarchical Fog-Cloud Systems
Publication date :
04 October 2019
Journal title :
IEEE Transactions on Wireless Communications
ISSN :
1558-2248
Publisher :
Institute of Electrical and Electronics Engineers, New York, United States - New York
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
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