Disk cache performance for distributed systems
The influence of client and server cache sizes and the number of clients on caching performance is studied through trace-driven simulation. The results indicate that the locality of reference in disk block reference patterns allows relatively small caches to reduce significantly the number of disk a...
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creator | Makaroff, D.J. Eager, D.L. |
description | The influence of client and server cache sizes and the number of clients on caching performance is studied through trace-driven simulation. The results indicate that the locality of reference in disk block reference patterns allows relatively small caches to reduce significantly the number of disk accesses required. File server cache performance is significantly different from client cache performance owing to the capture of disk block references by the client caches. The major factor influencing overall miss ratio statistics (actual disk reference frequencies) is found to be the maximum of the server cache size and the size of client caches.< > |
doi_str_mv | 10.1109/ICDCS.1990.89274 |
format | Conference Proceeding |
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The results indicate that the locality of reference in disk block reference patterns allows relatively small caches to reduce significantly the number of disk accesses required. File server cache performance is significantly different from client cache performance owing to the capture of disk block references by the client caches. The major factor influencing overall miss ratio statistics (actual disk reference frequencies) is found to be the maximum of the server cache size and the size of client caches.< ></description><identifier>ISBN: 9780818620485</identifier><identifier>ISBN: 081862048X</identifier><identifier>DOI: 10.1109/ICDCS.1990.89274</identifier><language>eng</language><publisher>IEEE Comput. Soc. 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The results indicate that the locality of reference in disk block reference patterns allows relatively small caches to reduce significantly the number of disk accesses required. File server cache performance is significantly different from client cache performance owing to the capture of disk block references by the client caches. The major factor influencing overall miss ratio statistics (actual disk reference frequencies) is found to be the maximum of the server cache size and the size of client caches.< ></description><subject>Cache storage</subject><subject>Costs</subject><subject>Distributed computing</subject><subject>File servers</subject><subject>Frequency</subject><subject>Network servers</subject><subject>Statistics</subject><subject>System performance</subject><subject>Throughput</subject><subject>Workstations</subject><isbn>9780818620485</isbn><isbn>081862048X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1990</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tOwzAURC0hpKKSfdn5BxJ8_Yh9lyjlUakSC2Bd2fG1MBCo7LDo3xMBszhzViMNYxsQHYDA692wHZ46QBSdQ2n1GWvQOuHA9VJoZ1asqfVNLDHGSSkuWLfN9Z2PfnwlfqSSvsrkP0fii_CY61xy-J4p8nqqM031kp0n_1Gp-e81e7m7fR4e2v3j_W642bcZhJpbbyN6iCJYNAllNKBBKh_NSBYh9TJRr1zQ2si0wBh0GDCqBZooBbVmV3-7mYgOx5InX06H30_qBzRMQUM</recordid><startdate>1990</startdate><enddate>1990</enddate><creator>Makaroff, D.J.</creator><creator>Eager, D.L.</creator><general>IEEE Comput. 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Press</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1990</creationdate><title>Disk cache performance for distributed systems</title><author>Makaroff, D.J. ; Eager, D.L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i103t-a7d9a1d0b795f92d514123ad5ce791f62fe638b4452f44555989b9d39b94eefb3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1990</creationdate><topic>Cache storage</topic><topic>Costs</topic><topic>Distributed computing</topic><topic>File servers</topic><topic>Frequency</topic><topic>Network servers</topic><topic>Statistics</topic><topic>System performance</topic><topic>Throughput</topic><topic>Workstations</topic><toplevel>online_resources</toplevel><creatorcontrib>Makaroff, D.J.</creatorcontrib><creatorcontrib>Eager, D.L.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Makaroff, D.J.</au><au>Eager, D.L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Disk cache performance for distributed systems</atitle><btitle>Proceedings.,10th International Conference on Distributed Computing Systems</btitle><stitle>ICDCS</stitle><date>1990</date><risdate>1990</risdate><spage>212</spage><epage>219</epage><pages>212-219</pages><isbn>9780818620485</isbn><isbn>081862048X</isbn><abstract>The influence of client and server cache sizes and the number of clients on caching performance is studied through trace-driven simulation. The results indicate that the locality of reference in disk block reference patterns allows relatively small caches to reduce significantly the number of disk accesses required. File server cache performance is significantly different from client cache performance owing to the capture of disk block references by the client caches. The major factor influencing overall miss ratio statistics (actual disk reference frequencies) is found to be the maximum of the server cache size and the size of client caches.< ></abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ICDCS.1990.89274</doi><tpages>8</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Cache storage Costs Distributed computing File servers Frequency Network servers Statistics System performance Throughput Workstations |
title | Disk cache performance for distributed systems |
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