DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Song, Chong | - |
dc.contributor.advisor | 정송 | - |
dc.contributor.author | Lee, Dong-Hoon | - |
dc.date.accessioned | 2019-09-04T02:44:16Z | - |
dc.date.available | 2019-09-04T02:44:16Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=734039&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/266920 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2018.2,[iii, 22 p. :] | - |
dc.description.abstract | The future mobile infrastructure is expected to become a multi-resource environment where various re- sources participate in user's services. Moreover, as users' needs become diversied, network manager requires algorithms to allocate resources eciently and fairly. However managing multi-resource envi- ronment is challenge due to time varying nature and complex correlation among service requirement and existing algorithm have shown poor performance in metric like queuing delay. In this paper, we aim to overcome these limitations through learning based algorithm. We modeled the multi-resource manage- ment problem in multi-resource environment with computing/networking resources as utility maximiza- tion problem, and reformulate the problem to appropriate form to apply the reinforcement learning. As a result, the algorithm we proposed can achieve utility optimal without any trade-o parameter and does not cause high queuing delay unlike existing algorithms. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Network function visualization▼anetwork resource management▼amulti-resource infrastructures▼areinforcement learning | - |
dc.subject | 네트워크 기능 가상화▼a네트워크 자원 관리▼a다중 자원 인프라▼a강화 학습 | - |
dc.title | Learning based utility maximization for multi-resource management | - |
dc.title.alternative | 학습 기반 네트워크 만족도 최대화를 통한 멀티 리소스 관리 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | 이동훈 | - |
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