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...
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Veröffentlicht in: | Electronic commerce research and applications 2010-11, Vol.9 (6), p.549-561 |
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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 |
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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> |
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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 |
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