download0 view170
twitter facebook

공공누리This item is licensed Korea Open Government License

Title
CBR-based Network Performance Management with Multi-agent Approach
Author(s)
조부승정진욱Kuinam J. Kim
Publication Year
2017-02-10
Abstract
Nowadays, with the growth of heterogeneity of network equipmentand software, and involved a variety of advanced network technology, thecomplexity of computer network have rapidly increased. Especially demandsfor high-performance network service in advanced data-intensive scientific re-search are dramatically increased. In order to cope with the network perfor-mance issue, this paper proposes the end-to-end (ETE) network performancemanagement framework based on Case-based Reasoning with the case libraryand multi-agent integrated with perfSONAR as well as large-scale networkflow monitoring. It provides a sophisticated framework for both network op-erator and user to systemically identify ETE network performance issues thatare detected, diagnosed and recovered. To validate the framework, the retrievaleffectiveness is demonstrated with modeling and implementing the casebase inthe real experimental environment, a national research network of Korea.
Keyword
Case-based Reasoning; Network Management Framework
Journal Title
Cluster Computing
Citation Volume
20
ISSN
1386-7857
Files in This Item:
There are no files associated with this item.
Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14635
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART77779763
Export
RIS (EndNote)
XLS (Excel)
XML

Browse