• Title, Summary, Keyword: 오프로딩 컴퓨테이션

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An Offloading Decision Scheme Considering the Scheduling Latency of the Cloud in Real-time Applications (실시간 응용에서 클라우드의 스케줄링 지연 시간을 고려한 오프로딩 결정 기법)

  • Min, Hong;Jung, Jinman;Kim, Bongjae;Heo, Junyoung
    • KIISE Transactions on Computing Practices
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    • v.23 no.6
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    • pp.392-396
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    • 2017
  • Although mobile device-related technologies have developed rapidly, many problems arising from resource constraints have not been solved. Computation offloading that uses resources of cloud servers over the Internet was proposed to overcome physical limitations, and many studies have been conducted in terms of energy saving. However, completing tasks within their deadlines is more important than saving energy in real-time applications. In this paper, we proposed an offloading decision scheme considering the scheduling latency in the cloud to support real-time applications. The proposed scheme can improve the reliability of real-time tasks by comparing the estimated laxity of offloading a task with the estimated laxity of executing a task in a mobile device and selecting a more effective way to satisfy the task's deadline.

A Design of Analyzing effects of Distance between a mobile device and Cloudlet (모바일 장치와 구름을 사이에 거리의 효과 분석설계)

  • Eric, Niyonsaba;Jang, Jong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.11
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    • pp.2671-2676
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    • 2015
  • Nowadays, Mobile devices are now capable of supporting a wide range of applications. Unfortunately, some of applications demand an ever increasing computational power and mobile devices have limited resources due to their constraints, such as low processing power, limited memory, unpredictable connectivity, and limited battery life. To deal with mobile devices' constraints, researchers envision extending cloud computing services to mobile devices using virtualization techniques to shift the workload from mobile devices to a powerful computational infrastructure. Those techniques consist of migrating resource-intensive computations from a mobile device to the resource-rich cloud, or server (called nearby infrastructure). In this paper, we want to highlight on cloudlet architecture (nearby infrastructure with mobile devices), its functioning and in our future work, analyze effects of distance between cloudlet and mobile devices.