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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106113


    Title: Study of data placement schemes for SNS services in cloud environment
    Authors: 陳彥文;Chen, Yen-Wen;Lin, Meng-Hsien;Wu, Min-Yan
    Contributors: 資訊電機學院通訊工程學系
    Keywords: Analysis;Cloud computing;Clustering (Computers);Electronic data processing;Methods;Social networks;Virtual computer systems
    Date: 2015-08-31
    Issue Date: 2026-04-23 13:08:38 (UTC+8)
    Publisher: Korea Society of Internet Information;KSII, the Korean Society for Internet Information
    Abstract: 摘要: Due to the high growth of SNS population, service scalability is one of the critical issues to be addressed. The cloud environment provides the flexible computing and storage resources for services deployment, which fits the characteristics of scalable SNS deployment. However, if the SNS related information is not properly placed, it will cause unbalance load and heavy transmission cost on the storage virtual machine (VM) and cloud data center (CDC) network. In this paper, we characterize the SNS into a graph model based on the users' associations and interest correlations. The node weight represents the degree of associations, which can be indexed by the number of friends or data sources, and the link weight denotes the correlation between users/data sources. Then, based on the SNS graph, the two-step algorithm is proposed in this paper to determine the placement of SNS related data among VMs. Two k- means based clustering schemes are proposed to allocate social data in proper VM and physical servers for pre-configured VM and dynamic VM environment, respectively. The experimental example was conducted and to illustrate and compare the performance of the proposed schemes.
    出版者: KSII, the Korean Society for Internet Information
    出版日期: 2015-08-31
    出處: KSII transactions on Internet and information systems, 2015-08, Vol.9 (8), p.3203-3215
    版權: COPYRIGHT 2015 KSII, the Korean Society for Internet Information
    識別號: ISSN: 1976-7277
    識別號: ISSN: 2288-1468
    識別號: EISSN: 1976-7277
    識別號: DOI: 10.3837/tiis.2015.08.027
    Appears in Collections:[Department of Communication Engineering] journal & Dissertation

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