Please use this identifier to cite or link to this item: https://doi.org/10.1109/TKDE.2007.190694
DC FieldValue
dc.titleOn the design of distributed object placement and load balancing strategies in large-scale networked multimedia storage systems
dc.contributor.authorZeng, Z.
dc.contributor.authorVeeravalli, B.
dc.date.accessioned2014-06-17T02:59:49Z
dc.date.available2014-06-17T02:59:49Z
dc.date.issued2008-03
dc.identifier.citationZeng, Z., Veeravalli, B. (2008-03). On the design of distributed object placement and load balancing strategies in large-scale networked multimedia storage systems. IEEE Transactions on Knowledge and Data Engineering 20 (3) : 369-382. ScholarBank@NUS Repository. https://doi.org/10.1109/TKDE.2007.190694
dc.identifier.issn10414347
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/56889
dc.description.abstractIn a large-scale multimedia storage system (LMSS) where client requests for different multimedia objects may have different demands, the placement and replication of the objects is an important factor, as it may result in an imbalance in server loading across the system. Since replication management and load balancing are all the more crucial issues in multimedia systems, in the literature, these problems are handled by centralized servers. Each object storage server (OSS) responds to the requests that come from the centralized servers independently and has no communication with other OSSs in the system. In this paper, we design a novel distributed load balancing strategy for LMSS, in which OSSs can cooperate to achieve higher performance. Such OSS modeled as an M/G/m system can replicate the objects to and balance the requests among other servers to achieve a near-optimal average waiting time (AWT) of the requests in the system. We validate the performance of the system via rigorous simulations with respect to several Influencing factors and prove that our proposed strategy Is scalable, flexible, and efficient for real-life applications. © 2008 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TKDE.2007.190694
dc.sourceScopus
dc.subjectAverage waiting time
dc.subjectDistributed system
dc.subjectMultimedia storage system
dc.subjectQueuing theory
dc.subjectRequest balancing
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TKDE.2007.190694
dc.description.sourcetitleIEEE Transactions on Knowledge and Data Engineering
dc.description.volume20
dc.description.issue3
dc.description.page369-382
dc.description.codenITKEE
dc.identifier.isiut000252408900006
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