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Generalized distributed rate limiting
The distributed rate limiting (DRL) paradigm is a recently proposed mechanism for decentralized control of cloud-based services. DRL is a simple and efficient approach to resolve the issues of pricing and resource control/engineering of cloud based services. The existing DRL schemes focus on very sp...
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creator | Stanojevic, R. Shorten, R. |
description | The distributed rate limiting (DRL) paradigm is a recently proposed mechanism for decentralized control of cloud-based services. DRL is a simple and efficient approach to resolve the issues of pricing and resource control/engineering of cloud based services. The existing DRL schemes focus on very specific performance metrics (such as loss rate and fair-share) and their design heavily depends on the assumption that the traffic is generated by elastic TCP sources. In this paper we tackle the DRL problem for general workloads and performance metrics and propose an analytic framework for the design of stable DRL algorithms. The closed-form nature of our results allows simple design rules which, together with extremely low communication overhead, makes the presented algorithms practical and easy to deploy with guaranteed convergence properties under a wide range of possible scenarios. |
doi_str_mv | 10.1109/IWQoS.2009.5201389 |
format | conference_proceeding |
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DRL is a simple and efficient approach to resolve the issues of pricing and resource control/engineering of cloud based services. The existing DRL schemes focus on very specific performance metrics (such as loss rate and fair-share) and their design heavily depends on the assumption that the traffic is generated by elastic TCP sources. In this paper we tackle the DRL problem for general workloads and performance metrics and propose an analytic framework for the design of stable DRL algorithms. The closed-form nature of our results allows simple design rules which, together with extremely low communication overhead, makes the presented algorithms practical and easy to deploy with guaranteed convergence properties under a wide range of possible scenarios.</description><identifier>ISSN: 1548-615X</identifier><identifier>ISBN: 1424438756</identifier><identifier>ISBN: 9781424438754</identifier><identifier>EISBN: 1424438764</identifier><identifier>EISBN: 9781424438761</identifier><identifier>DOI: 10.1109/IWQoS.2009.5201389</identifier><language>eng</language><publisher>IEEE</publisher><subject>Aggregates ; Algorithm design and analysis ; CDN ; Cloud control ; Clouds ; Consensus agreement ; Convergence ; Costs ; Delay ; Measurement ; Network servers ; Pricing ; Rate limiting ; Stability and convergence ; Web and internet services</subject><ispartof>2009 17th International Workshop on Quality of Service, 2009, p.1-9</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5201389$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5201389$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Stanojevic, R.</creatorcontrib><creatorcontrib>Shorten, R.</creatorcontrib><title>Generalized distributed rate limiting</title><title>2009 17th International Workshop on Quality of Service</title><addtitle>IWQoS</addtitle><description>The distributed rate limiting (DRL) paradigm is a recently proposed mechanism for decentralized control of cloud-based services. DRL is a simple and efficient approach to resolve the issues of pricing and resource control/engineering of cloud based services. The existing DRL schemes focus on very specific performance metrics (such as loss rate and fair-share) and their design heavily depends on the assumption that the traffic is generated by elastic TCP sources. In this paper we tackle the DRL problem for general workloads and performance metrics and propose an analytic framework for the design of stable DRL algorithms. The closed-form nature of our results allows simple design rules which, together with extremely low communication overhead, makes the presented algorithms practical and easy to deploy with guaranteed convergence properties under a wide range of possible scenarios.</description><subject>Aggregates</subject><subject>Algorithm design and analysis</subject><subject>CDN</subject><subject>Cloud control</subject><subject>Clouds</subject><subject>Consensus agreement</subject><subject>Convergence</subject><subject>Costs</subject><subject>Delay</subject><subject>Measurement</subject><subject>Network servers</subject><subject>Pricing</subject><subject>Rate limiting</subject><subject>Stability and convergence</subject><subject>Web and internet services</subject><issn>1548-615X</issn><isbn>1424438756</isbn><isbn>9781424438754</isbn><isbn>1424438764</isbn><isbn>9781424438761</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFj81KAzEURiMq2FZfQDfduJzx3tz8LqXYWiiIWNBdSSc3EplWycSFPr2CBVffOZsDnxCXCC0i-Jvl8-P7UysBfKslIDl_JMaopFLkrFHH_6LNiRihVq4xqF_OxHgY3gCUBaKRuF7wnkvo8zfHacxDLXn7WX-5hMrTPu9yzfvXc3GaQj_wxWEnYj2_W8_um9XDYjm7XTVZoq-NN8gkQwoJQ9CSIXYdJMWOttFGNJgSWc3agEXtUvBJgZfOeAgdEdBEXP1lMzNvPkrehfK1OdyjH1z-QbA</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Stanojevic, R.</creator><creator>Shorten, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20090101</creationdate><title>Generalized distributed rate limiting</title><author>Stanojevic, R. ; Shorten, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i219t-961e32afaf1aa52e0dcc0f4e83bd7d161ff375e5607158fa9f40928690ac3303</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Aggregates</topic><topic>Algorithm design and analysis</topic><topic>CDN</topic><topic>Cloud control</topic><topic>Clouds</topic><topic>Consensus agreement</topic><topic>Convergence</topic><topic>Costs</topic><topic>Delay</topic><topic>Measurement</topic><topic>Network servers</topic><topic>Pricing</topic><topic>Rate limiting</topic><topic>Stability and convergence</topic><topic>Web and internet services</topic><toplevel>online_resources</toplevel><creatorcontrib>Stanojevic, R.</creatorcontrib><creatorcontrib>Shorten, R.</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 Explore</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>Stanojevic, R.</au><au>Shorten, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Generalized distributed rate limiting</atitle><btitle>2009 17th International Workshop on Quality of Service</btitle><stitle>IWQoS</stitle><date>2009-01-01</date><risdate>2009</risdate><spage>1</spage><epage>9</epage><pages>1-9</pages><issn>1548-615X</issn><isbn>1424438756</isbn><isbn>9781424438754</isbn><eisbn>1424438764</eisbn><eisbn>9781424438761</eisbn><abstract>The distributed rate limiting (DRL) paradigm is a recently proposed mechanism for decentralized control of cloud-based services. DRL is a simple and efficient approach to resolve the issues of pricing and resource control/engineering of cloud based services. The existing DRL schemes focus on very specific performance metrics (such as loss rate and fair-share) and their design heavily depends on the assumption that the traffic is generated by elastic TCP sources. In this paper we tackle the DRL problem for general workloads and performance metrics and propose an analytic framework for the design of stable DRL algorithms. The closed-form nature of our results allows simple design rules which, together with extremely low communication overhead, makes the presented algorithms practical and easy to deploy with guaranteed convergence properties under a wide range of possible scenarios.</abstract><pub>IEEE</pub><doi>10.1109/IWQoS.2009.5201389</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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ispartof | 2009 17th International Workshop on Quality of Service, 2009, p.1-9 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Aggregates Algorithm design and analysis CDN Cloud control Clouds Consensus agreement Convergence Costs Delay Measurement Network servers Pricing Rate limiting Stability and convergence Web and internet services |
title | Generalized distributed rate limiting |
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