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공공누리This item is licensed Korea Open Government License

dc.contributor.author
강선영
dc.contributor.author
강승재
dc.contributor.author
김태연
dc.contributor.author
이원혁
dc.contributor.author
전홍석
dc.date.accessioned
2019-08-28T07:41:46Z
dc.date.available
2019-08-28T07:41:46Z
dc.date.issued
2015-12-01
dc.identifier.issn
1386-7857
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/14443
dc.identifier.uri
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART74832626
dc.description.abstract
Current information & communication technology infrastructures are struggling for a wide variety of devices, services, and business and technology evolution.Cloud computing is becoming a promising platform andhas developed rapidly. In contrast to traditional enterprise IT solution, it enables enterprises to procure computingresources on demand basis and delegate management of all the resources to the cloud service provider. Healthcare information networks have emerged as one of the major research area in the cloud networks. Healthcare information is communication and information systems and technology that facilitate quality patient care, progressive medical education, and innovative research. Healthcare information networks must ensure the reliability and efficiency because it transfers highly personal data. Thus, it guarantees and keeps a certain level of transfer efficiency. In the distributed cloud environments, management costs for the network and computing resources are solved fundamentally through the integrated management system. It can increase the cost savings to solve the traffic explosion problem of core network via a distributedmicro datacenters (DCs). However, traditional flooding methods may cause a lot of traffic because it had to send data to all the neighbor DCs. Restricted Path Flooding algorithmshave been proposed for this purpose. In large networks, there is still the disadvantage that may occur traffic. In this paper, we develope lightweight path flooding algorithm to improve existing flooding algorithm using hop count restriction. This paper also investigates the problem of partial information sharing.
dc.language
eng
dc.relation.ispartofseries
Cluster Computing - the journal of networks, software tools and applications
dc.title
A healthcare information sharing scheme in distributed cloud networks
dc.citation.endPage
1410
dc.citation.number
4
dc.citation.startPage
1405
dc.citation.volume
18
dc.subject.keyword
Cloud network
dc.subject.keyword
Healthcare information
dc.subject.keyword
datacenter
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7. KISTI 연구성과 > 학술지 발표논문
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