Proceedings of the Sixth ACM International Conference on Multimedia - MULTIMEDIA '98 1998
DOI: 10.1145/290747.290786
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Performance analysis of the RIO multimedia storage system with heterogeneous disk configurations

Abstract: HO is a mtdtimedia object server which manages a set of parfld disks and supports red-time data d&very tith statisticrd dday guarantees. MO uses random data aRocation on diik< combiied with partial rephcation to achieve load balance and high performance b this paper we amdyze the perform~ce of NO when the set, of disks used to store data blocks is not homogeneous, having both tierent bandwidths and Merent storage capacities. The basic problem to be addr~ Show more

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Cited by 52 publications
(33 citation statements)
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“…Since the capacity of a single server is limited despite these optimizations, researchers began focusing on distributed and clustered server design [8,45,6,32,14,51]. Some representative examples include the Tiger server from Microsoft [8], Exedra from U. Toronto [6], Rio from UCLA [32], FlexSplit from HP [14] and Yima from USC [46].…”
Section: Distributed and Clustered Serversmentioning
confidence: 99%
See 2 more Smart Citations
“…Since the capacity of a single server is limited despite these optimizations, researchers began focusing on distributed and clustered server design [8,45,6,32,14,51]. Some representative examples include the Tiger server from Microsoft [8], Exedra from U. Toronto [6], Rio from UCLA [32], FlexSplit from HP [14] and Yima from USC [46].…”
Section: Distributed and Clustered Serversmentioning
confidence: 99%
“…Some representative examples include the Tiger server from Microsoft [8], Exedra from U. Toronto [6], Rio from UCLA [32], FlexSplit from HP [14] and Yima from USC [46].…”
Section: Distributed and Clustered Serversmentioning
confidence: 99%
See 1 more Smart Citation
“…Servers with heterogeneous disks have been studied by Santos and Muntz [20] in the RIO multimedia storage server. Their focus was load balancing policies with selected replication to reduce the delay bounds on start-up for interactive requests, based solely on the disk bandwidth requirements.…”
Section: Related Workmentioning
confidence: 99%
“…On the other hand, random block placement [10] moves only a fraction of the data layout when adapting new disks, which results in a reduced time of adaptation. However, huge efforts are required for achieving high-performance I/O and data availability without increasing the management complexity of the data (more details in related work).…”
Section: Introductionmentioning
confidence: 99%