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Erschienen in: Cluster Computing 4/2015

01.12.2015

A healthcare information sharing scheme in distributed cloud networks

verfasst von: Sunyoung Kang, TaeYeon Kim, Hongseok Jeon, Wonhyuk Lee, Seungae Kang

Erschienen in: Cluster Computing | Ausgabe 4/2015

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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 and has developed rapidly. In contrast to traditional enterprise IT solution, it enables enterprises to procure computing resources 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 distributed micro 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 algorithms have 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.

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Metadaten
Titel
A healthcare information sharing scheme in distributed cloud networks
verfasst von
Sunyoung Kang
TaeYeon Kim
Hongseok Jeon
Wonhyuk Lee
Seungae Kang
Publikationsdatum
01.12.2015
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 4/2015
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-015-0488-y

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