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- W3113459675 abstract "Edge computing is an emerging technology that provides the ability to offload tasks from resource-limited mobile devices to edge servers. Offloading tasks effectively can reduce service latencies of tasks and save resources of mobile devices significantly. Existing researches for task offloading mainly focus on how to offload tasks produced by latency-sensitive applications to meet their deadline requirements strictly. However, the research for offloading tasks produced by computation-intensive applications which do not require strict completion time is ignored. In this paper, we take latency-sensitive applications (i.e., tasks with hard deadlines) and computation-intensive applications (i.e., tasks with soft deadlines) into consideration simultaneously and design an offloading strategy to maximize the number of tasks that meet deadlines. We use a motivating example to illustrate the proposed problem. Then we introduce the solution of the problem briefly." @default.
- W3113459675 created "2021-01-05" @default.
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- W3113459675 date "2020-10-01" @default.
- W3113459675 modified "2023-09-29" @default.
- W3113459675 title "Offloading Deadline-aware Task in Edge Computing" @default.
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- W3113459675 doi "https://doi.org/10.1109/cloud49709.2020.00015" @default.
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