EaaS based peak power reduction framework for on-demand response in communication networks = EaaS 기반 통신망에서 전력 요구에 대응하는 최대 전력 감소 구조에 관한 연구

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One of the key issues in current communication networks is reduction of power consumption. Several studies suggest that energy saving network can be achieved by turning off network equipment such as nodes or links, but their approaches concentrate on the energy saving network regardless of traffic flow type. Also, most of studies focus on the demand response model of consumer side to get energy saving effect or peak power reduction. In this paper, we propose a new peak power reduction framework for on-demand response based on EaaS and also guaranteeing QoS for the premium service. When electrical power company requests the network service provider to reduce energy consumption until a certain amount of command, the network service provider chooses which links or nodes will be turned off to satisfy energy constraints by using heuristic algorithm sequence. Also, they check QoS for the premium service. Then, they reroute by using obtained network topology and turn off network equipment. This process is proceeded according to the our own heuristic algorithm. We implement the energy management system by using the suggested heuristic algorithm in NS-2. The results of simulation show on aspects of total energy consumption of networks and the end-to-end delay. Both total energy consumption of network and end-to end delay satisfy under the given power constraints. Therefore, government, power company and network service provider response immediately to the sudden power shortage situation based on our algorithm.
Advisors
Park, Hong-Shikresearcher박홍식
Description
한국과학기술원 : 전기및전자공학과,
Publisher
한국과학기술원
Issue Date
2013
Identifier
513304/325007  / 020113429
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전기및전자공학과, 2013.2, [ v, 34 p. ]

Keywords

on-demand; energy saving; peak power reduction; 온디맨드; 에너지 절약; 최대 전력 감소; 알고리즘; algorithm

URI
http://hdl.handle.net/10203/181006
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=513304&flag=dissertation
Appears in Collection
EE-Theses_Master(석사논문)
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