Context-aware resource allocation for mobile edge cloud = 모바일 엣지 클라우드를 위한 상황 인지 리소스 할당 기법

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Selecting the best resource for service performance in a smart space is one of the key goals of mobile edge computing, which makes up the edge cloud. As more and more devices in the Internet of Things (IoT) environment become service-specific and edge cloud service requirements become more diverse, it is difficult to accurately measure resource capabilities with previous utility functions based solely on computation metrics such as CPU and memory. In this paper, we propose a resource allocation scheme for efficient mobile edge cloud through context awareness. We present three contexts that can influence resource capability from various service cases and express how the ability of each resource element can be changed through generalized utility function. Our proposed scheme has been verified by experiments performed through actual service scenarios and selected resources optimized for service requirements.
Advisors
Lee, Dongmanresearcher이동만researcher
Description
한국과학기술원 :전산학부,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전산학부, 2018.2,[iv, 28 p. :]

Keywords

Resource allocation▼acontext awareness▼autility function▼aedge cloud▼aservice-specific; 리소스 할당▼a상황 인지▼a효용함수▼a엣지 클라우드▼a서비스 특화

URI
http://hdl.handle.net/10203/267075
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=734110&flag=dissertation
Appears in Collection
CS-Theses_Master(석사논문)
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