모바일 클라우드 컴퓨팅의 작업 실행 시간에 대한 연구
A Study on the Job Execution Time of Mobile Cloud Computing
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Given the numbers of smartphones, tablets and other mobile devices shipped every day,more and more users are relying on the cloud as the main driver for satisfying their computing needs, whether it is data storage, applications or infrastructure. Mobile cloud computing is simply cloud computing in which at least some of the devices involved are mobile. Each node is owned by a different user and is likely to be mobile. Using mobile hardware for cloud computing has advantages over using traditional hardware. These advantage include computational access to multimedia and sensor data without the need for large network transfer, more efficient access to data stored on other mobile devices and distributed ownership and maintenance of hardware. It is important to predict job execution time in mobile cloud computing because there are many mobile nodes with different capabilities. This paper analyzes the job execution time for mobile cloud computing in terms of network environment and heterogeneous mobile nodes using a mathematical model.
Abstract
Given the numbers of smartphones, tablets and other mobile devices shipped every day,more and more users are relying on the cloud as the main driver for satisfying their computing needs, whether it is data storage, applications or infrastructure. Mobile cloud computing is simply cloud computing in which at least some of the devices involved are mobile. Each node is owned by a different user and is likely to be mobile. Using mobile hardware for cloud computing has advantages over using traditional hardware. These advantage include computational access to multimedia and sensor data without the need for large network transfer, more efficient access to data stored on other mobile devices and distributed ownership and maintenance of hardware. It is important to predict job execution time in mobile cloud computing because there are many mobile nodes with different capabilities. This paper analyzes the job execution time for mobile cloud computing in terms of network environment and heterogeneous mobile nodes using a mathematical model.
참고문헌 (8)
- 강승석, "클라우드 컴퓨팅 서비스 구현을 위한 네트워크 가상화 연구", 한국지역정보화학회지, 13(3), pp.1~17 (2010), 한국지역정보화학회
- 이영로, "모바일서비스 확산에 따른 클라우드 컴퓨팅 표준화 추진 방향", 정보처리학회지, 18(5), pp.10~19 (2011)
- 정지범, "모바일 클라우드 시장 동향 및 시사점", 정보처리학회지, 18(5), pp.4~9 (2011)
- 장은영, "모바일 클라우드 서비스의 보안위협 대응 방안 연구", 정보보호학회논문지, 21(1), pp.177~186 (2011), 한국정보보호학회
- Sungkap Yeo, "Using Mathematical Modeling in Provisioning a Heterogeneous Cloud Computing Environment", IEEE Computer Society, pp.55~62 (2011)
- T. Kim, "Job partition and allocation using the prediction model in non-dedicated heterogeneous wireless network environments", IET COMMUNICATIONS, 3, pp.764~771 (2009), IET Commun.
- Thomas Phan, "“Challenge: Integrating Mobile Wireless Devices Into the Computational Grid", MOBICOM 02, 271~278 (2002)
- H. Casanova, "The AppLeS Parameter Sweep Templete: User-Level Middleware for the Grid", Proceedings of Super Computer 2000 (2000)