Server capacity planning for Web traffic workload

Cited 27 time in webofscience Cited 42 time in scopus
  • Hit : 131
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorKant, Kko
dc.contributor.authorWon, Youjipko
dc.date.accessioned2019-04-22T03:10:03Z-
dc.date.available2019-04-22T03:10:03Z-
dc.date.created2019-04-22-
dc.date.issued1999-09-
dc.identifier.citationIEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, v.11, no.5, pp.731 - 747-
dc.identifier.issn1041-4347-
dc.identifier.urihttp://hdl.handle.net/10203/261420-
dc.description.abstractThe goal of this paper is to provide a methodology for determining bandwidth requirements for various hardware components of a World Wide Web server. The paper assumes a traditional symmetric multiprocessor (SMP) architecture for the web-server, although the same analysis applies to an SMP node in a cluster, The paper derives formulae for bandwidth demands for memory, processor data bus, network adapters, disk adapters, I/O-memory paths, and I/O buses. Since the web workload characteristics vary widely, three sample workloads are considered for illustrative purposes: 1) standard SPECweb96, 2) a SPECweb96-like workload that assumes dynamic data and retransmissions, and 3) WebProxy, which models a web proxy server that does not do much caching and, thus, has rather severe requirements. The results point to a few general conclusions regarding Web workloads. In particular, reduction in memory/data bus bandwidth by using the virtual interface architecture (VIA) is very desirable, and the connectivity needs may go well beyond the capabilities of traditional systems based on the traditional PCI-bus. Web workloads also demand a significantly higher memory bandwidth-than data bus bandwidth and this disparity is expected to increase with the use of VIA. Also, the current efforts to offload TCP/IP processing may require a larger headroom in I/O subsystem bandwidth than in the processor-memory subsystem.-
dc.languageEnglish-
dc.publisherIEEE COMPUTER SOC-
dc.titleServer capacity planning for Web traffic workload-
dc.typeArticle-
dc.identifier.wosid000083826200003-
dc.identifier.scopusid2-s2.0-0033321124-
dc.type.rimsART-
dc.citation.volume11-
dc.citation.issue5-
dc.citation.beginningpage731-
dc.citation.endingpage747-
dc.citation.publicationnameIEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING-
dc.identifier.doi10.1109/69.806933-
dc.contributor.localauthorWon, Youjip-
dc.contributor.nonIdAuthorKant, K-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorWeb server-
dc.subject.keywordAuthortraffic characterization-
dc.subject.keywordAuthorself-similarity-
dc.subject.keywordAuthorsymmetric multiprocessors-
dc.subject.keywordAuthorcaching/proxy server-
dc.subject.keywordAuthorbandwidth requirements-
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 27 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0