计算机科学
边缘计算
移动边缘计算
计算卸载
分布式计算
云计算
边缘设备
调度(生产过程)
服务器
GSM演进的增强数据速率
能源消耗
延迟(音频)
移动设备
任务(项目管理)
云朵
出处
期刊:International Conference on Cloud Computing
日期:2020-10-01
卷期号:: 28-30
标识
DOI:10.1109/cloud49709.2020.00015
摘要
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.
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