Journal of KIISE (정보과학회 논문지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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A Function Level Static Offloading Scheme for Saving Energy of Mobile Devices in Mobile Cloud Computing

모바일 클라우드 컴퓨팅에서 모바일 기기의 에너지 절약을 위한 함수 수준 정적 오프로딩 기법

  • 민홍 (호서대학교 컴퓨터정보공학부) ;
  • 정진만 (한남대학교 정보통신공학과) ;
  • 허준영 (한성대학교 컴퓨터공학과)
  • Received : 2015.01.09
  • Accepted : 2015.03.04
  • Published : 2015.06.15
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Abstract

Mobile cloud computing is a technology that uses cloud services to overcome resource constrains of a mobile device, and it applies the computation offloading scheme to transfer a portion of a task which should be executed from a mobile device to the cloud. If the communication cost of the computation offloading is less than the computation cost of a mobile device, the mobile device commits a certain task to the cloud. The previous cost analysis models, which were used for separating functions running on a mobile device and functions transferring to the cloud, only considered the amount of data transfer and response time as the offloading cost. In this paper, we proposed a new task partitioning scheme that considers the frequency of function calls and data synchronization, during the cost estimation of the computation offloading. We also verified the energy efficiency of the proposed scheme by using experimental results.

모바일 클라우드 컴퓨팅은 모바일 기기의 자원제약적인 한계를 극복하기 위해 클라우드 서비스를 활용하는 기술로 모바일 기기에서 실행해야 할 일부 작업을 클라우드에서 수행하게 하는 컴퓨테이션 오프로딩 기법이 사용된다. 오프로딩에 필요한 통신 비용보다 모바일 기기 내에서의 연산 비용이 클 경우 모바일 기기는 클라우드에게 작업 수행을 위탁한다. 모바일 기기에서 수행할 작업과 클라우드에서 수행할 작업을 분할하기 위한 기존의 비용 분석 모델은 함수 호출에 필요한 데이터 전송과 응답 시간만을 오프로딩 비용으로 산정하였다. 본 논문에서는 컴퓨테이션 오프로딩 비용 산출 시 함수의 호출 및 응용 프로그램의 동기화 빈도를 고려한 작업 분할 기법을 제안하였고 실험을 통해 기존의 기법들에 비해 에너지 효율성을 높일 수 있음을 확인하였다.

Keywords

Acknowledgement

Supported by : 한남대학교, 한성대학교

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