Dynamic information-based scalable hashing on a cluster of web cache servers
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kwak, Hukeun | - |
dc.contributor.author | Sohn, Andrew | - |
dc.contributor.author | Chung, Kyusik | - |
dc.date.available | 2018-05-10T05:25:37Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2012-03-10 | - |
dc.identifier.issn | 1532-0626 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/12477 | - |
dc.description.abstract | Caching web pages is an important part of web infrastructures. Medium to large-scale infrastructures deploy a cluster of servers to solve the scalability and storage problems inherent in caching. In this paper we present dynamic information-based scalable hashing that evenly hashes client requests to a cluster of cache servers, resulting in performance scalability. Runtime information is used to determine when and how to cache pages. Cached pages are stored and retrieved mutually exclusively to/from all the servers to minimize the use of storage, resulting in storage scalability. We set up an experimental environment consisting of various machines, including client servers, a cluster of 16 cache servers, and a load balancer. We demonstrate through experimental results that dynamic information-based scalable hashing maximizes both performance scalability and storage scalability while the existing approaches do only either one of the two. Copyright (c) 2011 John Wiley & Sons, Ltd. | - |
dc.publisher | WILEY-BLACKWELL | - |
dc.relation.isPartOf | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | - |
dc.subject | AD HOC NETWORKS | - |
dc.subject | DELIVERY | - |
dc.subject | SYSTEM | - |
dc.subject | LOAD | - |
dc.title | Dynamic information-based scalable hashing on a cluster of web cache servers | - |
dc.type | Article | - |
dc.identifier.doi | 10.1002/cpe.1830 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v.24, no.3, pp.322 - 340 | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000300046900007 | - |
dc.identifier.scopusid | 2-s2.0-84860410322 | - |
dc.citation.endPage | 340 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 322 | - |
dc.citation.title | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | - |
dc.citation.volume | 24 | - |
dc.contributor.affiliatedAuthor | Chung, Kyusik | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | cluster utilization | - |
dc.subject.keywordAuthor | scalability | - |
dc.subject.keywordAuthor | storage | - |
dc.subject.keywordAuthor | traffic management | - |
dc.subject.keywordAuthor | web caching | - |
dc.subject.keywordPlus | AD HOC NETWORKS | - |
dc.subject.keywordPlus | DELIVERY | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | LOAD | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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