A survey of adaptation techniques in computation offloading

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• 作者：Arani Bhattacharya^a ; ^b ; ^{arbhattachar@cs.stonybrook.edu} ; Pradipta De^c ; ^{pde@georgiasouthern.edu}
• 关键词：Mobile cloud computing ; Application offloading ; Distributed systems ; Smartphones ; Adaptive offloading
• 刊名：Journal of Network and Computer Applications
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：78
• 期：Complete
• 页码：97-115
• 全文大小：664 K
• 卷排序：78

文摘

Computation offloading is a method of saving energy and time on resource-constrained mobile devices by executing some tasks on the cloud. A computation offloading mechanism determines portions of the application that can be offloaded for remote execution. The offloading decision problem depends on various parameters, like application characteristics, network conditions, hardware features, that influence the operating environment of an offloading system. Variations in these parameter values make it challenging to design effective offloading solutions that can adapt gracefully to all the changes. Hence a number of work has focused on offloading solutions that can adapt to changes in the parameter values. In this paper, we survey adaptation techniques used by offloading systems. We provide a panoptic view of the task offloading problem by identifying the variable parameters in the offloading ecosystem, present offloading solutions that adapt to these parameters, and point out the associated improvements in Quality of Experience of users.