RDRP: Reward-Driven Request Prioritization for e-Commerce web sites

Meeting client Quality-of-Service (QoS) expectations proves to be a difficult task for the providers of e-Commerce services, especially when web servers experience overload conditions, which cause increased response times and request rejections, leading to user frustration, lowered usage of the serv...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Electronic commerce research and applications 2010-11, Vol.9 (6), p.549-561
Hauptverfasser: Totok, Alexander, Karamcheti, Vijay
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 561
container_issue 6
container_start_page 549
container_title Electronic commerce research and applications
container_volume 9
creator Totok, Alexander
Karamcheti, Vijay
description Meeting client Quality-of-Service (QoS) expectations proves to be a difficult task for the providers of e-Commerce services, especially when web servers experience overload conditions, which cause increased response times and request rejections, leading to user frustration, lowered usage of the service and reduced revenues. In this paper, we propose a server-side request scheduling mechanism that addresses these problems. Our Reward-Driven Request Prioritization (RDRP) algorithm gives higher execution priority to client web sessions that are likely to bring more service profit (or any other application-specific reward). The method works by predicting future session structure by comparing its requests seen so far with aggregated information about recent client behavior, and using these predictions to preferentially allocate web server resources. Our experiments using the TPC-W benchmark application with an implementation of the RDRP techniques in the JBoss web application server show that RDRP can significantly boost profit attained by the service, while providing better QoS to clients that bring more profit.
doi_str_mv 10.1016/j.elerap.2010.03.001
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_755379372</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1567422310000165</els_id><sourcerecordid>2149281711</sourcerecordid><originalsourceid>FETCH-LOGICAL-c410t-d0700f6ea36190438c4b02f7deee0eaa871aaef5a30fc59c3934bd0929a79d0b3</originalsourceid><addsrcrecordid>eNp9kF1LwzAUhoMoOKf_wIvifetJ0zaNF4J0fsHAUfQ6pOkppGzNTLoN_fVm1muvzgfvez4eQq4pJBRocdsnuEantkkKoQUsAaAnZEZLzmJeZsVpyPOCx1masnNy4X0PkIKAfEaqelGv7qIaD8q18cKZPQ6h-tyhH6OVM9aZ0Xyr0dgh6qyLMK7sZoNOY3TAJvJmRH9Jzjq19nj1F-fk4-nxvXqJl2_Pr9XDMtYZhTFugQN0BSpWUAEZK3XWQNrxFhEBlSo5VQq7XDHodC40EyxrWhCpUFy00LA5uZnmbp39PVD2dueGsFLyPGdcMJ4GUTaJtLPeO-zk1pmNcl-SgjzSkr2caMkjLQlMBlrBdj_ZMDywN-ik1wYHja1xqEfZWvP_gB8IpnRA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>755379372</pqid></control><display><type>article</type><title>RDRP: Reward-Driven Request Prioritization for e-Commerce web sites</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Totok, Alexander ; Karamcheti, Vijay</creator><creatorcontrib>Totok, Alexander ; Karamcheti, Vijay</creatorcontrib><description>Meeting client Quality-of-Service (QoS) expectations proves to be a difficult task for the providers of e-Commerce services, especially when web servers experience overload conditions, which cause increased response times and request rejections, leading to user frustration, lowered usage of the service and reduced revenues. In this paper, we propose a server-side request scheduling mechanism that addresses these problems. Our Reward-Driven Request Prioritization (RDRP) algorithm gives higher execution priority to client web sessions that are likely to bring more service profit (or any other application-specific reward). The method works by predicting future session structure by comparing its requests seen so far with aggregated information about recent client behavior, and using these predictions to preferentially allocate web server resources. Our experiments using the TPC-W benchmark application with an implementation of the RDRP techniques in the JBoss web application server show that RDRP can significantly boost profit attained by the service, while providing better QoS to clients that bring more profit.</description><identifier>ISSN: 1567-4223</identifier><identifier>EISSN: 1873-7846</identifier><identifier>DOI: 10.1016/j.elerap.2010.03.001</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Admission control ; Bayesian inference analysis ; Customer relationship management ; Customer satisfaction ; e-Commerce services ; Electronic commerce ; Profit maximization ; Quality of service ; Request scheduling ; Servers ; Studies</subject><ispartof>Electronic commerce research and applications, 2010-11, Vol.9 (6), p.549-561</ispartof><rights>2010 Elsevier B.V.</rights><rights>Copyright © 2010 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c410t-d0700f6ea36190438c4b02f7deee0eaa871aaef5a30fc59c3934bd0929a79d0b3</citedby><cites>FETCH-LOGICAL-c410t-d0700f6ea36190438c4b02f7deee0eaa871aaef5a30fc59c3934bd0929a79d0b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.elerap.2010.03.001$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Totok, Alexander</creatorcontrib><creatorcontrib>Karamcheti, Vijay</creatorcontrib><title>RDRP: Reward-Driven Request Prioritization for e-Commerce web sites</title><title>Electronic commerce research and applications</title><description>Meeting client Quality-of-Service (QoS) expectations proves to be a difficult task for the providers of e-Commerce services, especially when web servers experience overload conditions, which cause increased response times and request rejections, leading to user frustration, lowered usage of the service and reduced revenues. In this paper, we propose a server-side request scheduling mechanism that addresses these problems. Our Reward-Driven Request Prioritization (RDRP) algorithm gives higher execution priority to client web sessions that are likely to bring more service profit (or any other application-specific reward). The method works by predicting future session structure by comparing its requests seen so far with aggregated information about recent client behavior, and using these predictions to preferentially allocate web server resources. Our experiments using the TPC-W benchmark application with an implementation of the RDRP techniques in the JBoss web application server show that RDRP can significantly boost profit attained by the service, while providing better QoS to clients that bring more profit.</description><subject>Admission control</subject><subject>Bayesian inference analysis</subject><subject>Customer relationship management</subject><subject>Customer satisfaction</subject><subject>e-Commerce services</subject><subject>Electronic commerce</subject><subject>Profit maximization</subject><subject>Quality of service</subject><subject>Request scheduling</subject><subject>Servers</subject><subject>Studies</subject><issn>1567-4223</issn><issn>1873-7846</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp9kF1LwzAUhoMoOKf_wIvifetJ0zaNF4J0fsHAUfQ6pOkppGzNTLoN_fVm1muvzgfvez4eQq4pJBRocdsnuEantkkKoQUsAaAnZEZLzmJeZsVpyPOCx1masnNy4X0PkIKAfEaqelGv7qIaD8q18cKZPQ6h-tyhH6OVM9aZ0Xyr0dgh6qyLMK7sZoNOY3TAJvJmRH9Jzjq19nj1F-fk4-nxvXqJl2_Pr9XDMtYZhTFugQN0BSpWUAEZK3XWQNrxFhEBlSo5VQq7XDHodC40EyxrWhCpUFy00LA5uZnmbp39PVD2dueGsFLyPGdcMJ4GUTaJtLPeO-zk1pmNcl-SgjzSkr2caMkjLQlMBlrBdj_ZMDywN-ik1wYHja1xqEfZWvP_gB8IpnRA</recordid><startdate>20101101</startdate><enddate>20101101</enddate><creator>Totok, Alexander</creator><creator>Karamcheti, Vijay</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope></search><sort><creationdate>20101101</creationdate><title>RDRP: Reward-Driven Request Prioritization for e-Commerce web sites</title><author>Totok, Alexander ; Karamcheti, Vijay</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c410t-d0700f6ea36190438c4b02f7deee0eaa871aaef5a30fc59c3934bd0929a79d0b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Admission control</topic><topic>Bayesian inference analysis</topic><topic>Customer relationship management</topic><topic>Customer satisfaction</topic><topic>e-Commerce services</topic><topic>Electronic commerce</topic><topic>Profit maximization</topic><topic>Quality of service</topic><topic>Request scheduling</topic><topic>Servers</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Totok, Alexander</creatorcontrib><creatorcontrib>Karamcheti, Vijay</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Electronic commerce research and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Totok, Alexander</au><au>Karamcheti, Vijay</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>RDRP: Reward-Driven Request Prioritization for e-Commerce web sites</atitle><jtitle>Electronic commerce research and applications</jtitle><date>2010-11-01</date><risdate>2010</risdate><volume>9</volume><issue>6</issue><spage>549</spage><epage>561</epage><pages>549-561</pages><issn>1567-4223</issn><eissn>1873-7846</eissn><abstract>Meeting client Quality-of-Service (QoS) expectations proves to be a difficult task for the providers of e-Commerce services, especially when web servers experience overload conditions, which cause increased response times and request rejections, leading to user frustration, lowered usage of the service and reduced revenues. In this paper, we propose a server-side request scheduling mechanism that addresses these problems. Our Reward-Driven Request Prioritization (RDRP) algorithm gives higher execution priority to client web sessions that are likely to bring more service profit (or any other application-specific reward). The method works by predicting future session structure by comparing its requests seen so far with aggregated information about recent client behavior, and using these predictions to preferentially allocate web server resources. Our experiments using the TPC-W benchmark application with an implementation of the RDRP techniques in the JBoss web application server show that RDRP can significantly boost profit attained by the service, while providing better QoS to clients that bring more profit.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.elerap.2010.03.001</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1567-4223
ispartof Electronic commerce research and applications, 2010-11, Vol.9 (6), p.549-561
issn 1567-4223
1873-7846
language eng
recordid cdi_proquest_journals_755379372
source Elsevier ScienceDirect Journals Complete
subjects Admission control
Bayesian inference analysis
Customer relationship management
Customer satisfaction
e-Commerce services
Electronic commerce
Profit maximization
Quality of service
Request scheduling
Servers
Studies
title RDRP: Reward-Driven Request Prioritization for e-Commerce web sites
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T19%3A27%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=RDRP:%20Reward-Driven%20Request%20Prioritization%20for%20e-Commerce%20web%20sites&rft.jtitle=Electronic%20commerce%20research%20and%20applications&rft.au=Totok,%20Alexander&rft.date=2010-11-01&rft.volume=9&rft.issue=6&rft.spage=549&rft.epage=561&rft.pages=549-561&rft.issn=1567-4223&rft.eissn=1873-7846&rft_id=info:doi/10.1016/j.elerap.2010.03.001&rft_dat=%3Cproquest_cross%3E2149281711%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=755379372&rft_id=info:pmid/&rft_els_id=S1567422310000165&rfr_iscdi=true