UM
Load Balancing Oriented Computation Offloading in Mobile Cloudlet
Yao, Danhui; Gui, Lin; Hou, Fen; Sun, Fei; Mo, Daihui; Shan, Hangguan; IEEE
2017
Conference Name2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL)
Publication Place345 E 47TH ST, NEW YORK, NY 10017 USA
PublisherIEEE
AbstractThe limited computing ability of mobile device constrains its performance on complex mobile applications. Mobile cloud computing (MCC) has therefore emerged to migrate computation-intensive tasks to remote clouds or mobile cloudlets. Most strategies allocate tasks with minimal response time yet few consider the load of the nodes. In this paper, we focus on the load balancing problem for nodes when they conduct offloading. We first establish a five-tuple characterized task model to capture the response time of offloaded tasks. Then, we formulate the task allocation problem as an integer linear problem (ILP) under certain conditions. Furthermore, we propose a two-step appointment-driven strategy to solve this problem with minimal task response time. Specifically, a modified genetic algorithm (GA) is adopted to coordinate the load of the nodes. Simulations are conducted to prove the feasibility of our strategy and evaluate the performance of load coordination.
URLView the original
Indexed ByCPCI
Language英语
WOS Research AreaEngineering ; Telecommunications
WOS SubjectEngineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000428141602096
The Source to ArticleWOS
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Yao, Danhui,Gui, Lin,Hou, Fen,et al. Load Balancing Oriented Computation Offloading in Mobile Cloudlet[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017.
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