Debunking Real-Time Pricing in Cloud Computing

Elasticity of cloud computing eases the burden of capacity planning. Cloud computing users dynamically provision IT resources tracking their fluctuating demand, and only pay for their usage. Therefore, cloud computing essentially shifts the burden of capacity planning from user's side to provid...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Wee, Sewook
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 590
container_issue
container_start_page 585
container_title
container_volume
creator Wee, Sewook
description Elasticity of cloud computing eases the burden of capacity planning. Cloud computing users dynamically provision IT resources tracking their fluctuating demand, and only pay for their usage. Therefore, cloud computing essentially shifts the burden of capacity planning from user's side to provider's side. On the other hand, providers take this burden with the optimistic assumption that diverse workloads from various users will flatten the overall demand curve. However, this optimistic hypothesis has not been proved yet in the real world cases. In fact, counter evidences have been raised. December 2009, Amazon Web Services (AWS), a leading infrastructure cloud service provider, started to offer a real-time pricing for computing resources -- Amazon EC2 Spot Instances (SIs). Real-time pricing, in principle, encourages users to shift their flexible workloads from provider's peak hours to off-peak hours with monetary incentives. Interestingly, from our observation on AWS's one-year SI price history datasets, we conclude that the observed monetary incentive is not large enough to motivate users to shift their workloads. It is reasonable for users to choose SIs over on-demand instances because SIs are 52.3% cheaper on average. After that, shifting the workload to cheaper period provides only 3.7 % additional cost savings at best. Moreover, both average cost savings and price fluctuation have not been meaningfully changed over time.
doi_str_mv 10.1109/CCGrid.2011.38
format Conference Proceeding
fullrecord <record><control><sourceid>acm_6IE</sourceid><recordid>TN_cdi_ieee_primary_5948651</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5948651</ieee_id><sourcerecordid>acm_books_10_1109_CCGrid_2011_38</sourcerecordid><originalsourceid>FETCH-LOGICAL-a160t-7dad1714006ea3e70464a47ba5da6d82a018f89493fc888138af7ef5151dd723</originalsourceid><addsrcrecordid>eNqNkDtLxEAUhUdEUNa0NjbprBLnZt6ljLoKC4qkH24yExk2jyXZFP57E9ZqK6vDeXCKj5A7oDkANY_Wbsfo84IC5ExfkMQoTZU0gjMj5OWZvybJNMWKFlJJoYS5IflzqOZ-H_vv9Ctgm5WxC-nnGOs1iX1q22H2qR26w3xcolty1WA7heRPN6R8fSntW7b72L7bp12GIOkxUx49KOCUyoAsKMolR64qFB6l1wVS0I023LCm1loD09io0AgQ4L0q2Ibcn25jCMEdxtjh-OOE4VoKWNqHU4t156ph2E8OqFtxuBMOt-JwTC_L7H9LV40xNOwXAcJdkw</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Debunking Real-Time Pricing in Cloud Computing</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Wee, Sewook</creator><creatorcontrib>Wee, Sewook</creatorcontrib><description>Elasticity of cloud computing eases the burden of capacity planning. Cloud computing users dynamically provision IT resources tracking their fluctuating demand, and only pay for their usage. Therefore, cloud computing essentially shifts the burden of capacity planning from user's side to provider's side. On the other hand, providers take this burden with the optimistic assumption that diverse workloads from various users will flatten the overall demand curve. However, this optimistic hypothesis has not been proved yet in the real world cases. In fact, counter evidences have been raised. December 2009, Amazon Web Services (AWS), a leading infrastructure cloud service provider, started to offer a real-time pricing for computing resources -- Amazon EC2 Spot Instances (SIs). Real-time pricing, in principle, encourages users to shift their flexible workloads from provider's peak hours to off-peak hours with monetary incentives. Interestingly, from our observation on AWS's one-year SI price history datasets, we conclude that the observed monetary incentive is not large enough to motivate users to shift their workloads. It is reasonable for users to choose SIs over on-demand instances because SIs are 52.3% cheaper on average. After that, shifting the workload to cheaper period provides only 3.7 % additional cost savings at best. Moreover, both average cost savings and price fluctuation have not been meaningfully changed over time.</description><identifier>ISBN: 9780769543956</identifier><identifier>ISBN: 0769543952</identifier><identifier>ISBN: 1457701294</identifier><identifier>ISBN: 9781457701290</identifier><identifier>EISBN: 9780769543956</identifier><identifier>EISBN: 0769543952</identifier><identifier>DOI: 10.1109/CCGrid.2011.38</identifier><language>eng</language><publisher>Washington, DC, USA: IEEE Computer Society</publisher><subject>Amazon Web Services ; Applied computing -- Enterprise computing ; Applied computing -- Enterprise computing -- Business process management ; Availability ; Cloud computing ; Computer systems organization -- Architectures -- Distributed architectures ; History ; Infrastructure-as-a-service ; Networks -- Network services -- Network management ; Pricing ; Real time systems ; Real-time Pricing ; Scheduling algorithm ; Silicon ; Software and its engineering -- Software organization and properties -- Software system structures -- Distributed systems organizing principles ; Spot Instance</subject><ispartof>2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2011, p.585-590</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5948651$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,782,786,791,792,2062,27934,54929</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5948651$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wee, Sewook</creatorcontrib><title>Debunking Real-Time Pricing in Cloud Computing</title><title>2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing</title><addtitle>ccgrid</addtitle><description>Elasticity of cloud computing eases the burden of capacity planning. Cloud computing users dynamically provision IT resources tracking their fluctuating demand, and only pay for their usage. Therefore, cloud computing essentially shifts the burden of capacity planning from user's side to provider's side. On the other hand, providers take this burden with the optimistic assumption that diverse workloads from various users will flatten the overall demand curve. However, this optimistic hypothesis has not been proved yet in the real world cases. In fact, counter evidences have been raised. December 2009, Amazon Web Services (AWS), a leading infrastructure cloud service provider, started to offer a real-time pricing for computing resources -- Amazon EC2 Spot Instances (SIs). Real-time pricing, in principle, encourages users to shift their flexible workloads from provider's peak hours to off-peak hours with monetary incentives. Interestingly, from our observation on AWS's one-year SI price history datasets, we conclude that the observed monetary incentive is not large enough to motivate users to shift their workloads. It is reasonable for users to choose SIs over on-demand instances because SIs are 52.3% cheaper on average. After that, shifting the workload to cheaper period provides only 3.7 % additional cost savings at best. Moreover, both average cost savings and price fluctuation have not been meaningfully changed over time.</description><subject>Amazon Web Services</subject><subject>Applied computing -- Enterprise computing</subject><subject>Applied computing -- Enterprise computing -- Business process management</subject><subject>Availability</subject><subject>Cloud computing</subject><subject>Computer systems organization -- Architectures -- Distributed architectures</subject><subject>History</subject><subject>Infrastructure-as-a-service</subject><subject>Networks -- Network services -- Network management</subject><subject>Pricing</subject><subject>Real time systems</subject><subject>Real-time Pricing</subject><subject>Scheduling algorithm</subject><subject>Silicon</subject><subject>Software and its engineering -- Software organization and properties -- Software system structures -- Distributed systems organizing principles</subject><subject>Spot Instance</subject><isbn>9780769543956</isbn><isbn>0769543952</isbn><isbn>1457701294</isbn><isbn>9781457701290</isbn><isbn>9780769543956</isbn><isbn>0769543952</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNqNkDtLxEAUhUdEUNa0NjbprBLnZt6ljLoKC4qkH24yExk2jyXZFP57E9ZqK6vDeXCKj5A7oDkANY_Wbsfo84IC5ExfkMQoTZU0gjMj5OWZvybJNMWKFlJJoYS5IflzqOZ-H_vv9Ctgm5WxC-nnGOs1iX1q22H2qR26w3xcolty1WA7heRPN6R8fSntW7b72L7bp12GIOkxUx49KOCUyoAsKMolR64qFB6l1wVS0I023LCm1loD09io0AgQ4L0q2Ibcn25jCMEdxtjh-OOE4VoKWNqHU4t156ph2E8OqFtxuBMOt-JwTC_L7H9LV40xNOwXAcJdkw</recordid><startdate>20110523</startdate><enddate>20110523</enddate><creator>Wee, Sewook</creator><general>IEEE Computer Society</general><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20110523</creationdate><title>Debunking Real-Time Pricing in Cloud Computing</title><author>Wee, Sewook</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a160t-7dad1714006ea3e70464a47ba5da6d82a018f89493fc888138af7ef5151dd723</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Amazon Web Services</topic><topic>Applied computing -- Enterprise computing</topic><topic>Applied computing -- Enterprise computing -- Business process management</topic><topic>Availability</topic><topic>Cloud computing</topic><topic>Computer systems organization -- Architectures -- Distributed architectures</topic><topic>History</topic><topic>Infrastructure-as-a-service</topic><topic>Networks -- Network services -- Network management</topic><topic>Pricing</topic><topic>Real time systems</topic><topic>Real-time Pricing</topic><topic>Scheduling algorithm</topic><topic>Silicon</topic><topic>Software and its engineering -- Software organization and properties -- Software system structures -- Distributed systems organizing principles</topic><topic>Spot Instance</topic><toplevel>online_resources</toplevel><creatorcontrib>Wee, Sewook</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 Electronic Library (IEL)</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>Wee, Sewook</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Debunking Real-Time Pricing in Cloud Computing</atitle><btitle>2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing</btitle><stitle>ccgrid</stitle><date>2011-05-23</date><risdate>2011</risdate><spage>585</spage><epage>590</epage><pages>585-590</pages><isbn>9780769543956</isbn><isbn>0769543952</isbn><isbn>1457701294</isbn><isbn>9781457701290</isbn><eisbn>9780769543956</eisbn><eisbn>0769543952</eisbn><abstract>Elasticity of cloud computing eases the burden of capacity planning. Cloud computing users dynamically provision IT resources tracking their fluctuating demand, and only pay for their usage. Therefore, cloud computing essentially shifts the burden of capacity planning from user's side to provider's side. On the other hand, providers take this burden with the optimistic assumption that diverse workloads from various users will flatten the overall demand curve. However, this optimistic hypothesis has not been proved yet in the real world cases. In fact, counter evidences have been raised. December 2009, Amazon Web Services (AWS), a leading infrastructure cloud service provider, started to offer a real-time pricing for computing resources -- Amazon EC2 Spot Instances (SIs). Real-time pricing, in principle, encourages users to shift their flexible workloads from provider's peak hours to off-peak hours with monetary incentives. Interestingly, from our observation on AWS's one-year SI price history datasets, we conclude that the observed monetary incentive is not large enough to motivate users to shift their workloads. It is reasonable for users to choose SIs over on-demand instances because SIs are 52.3% cheaper on average. After that, shifting the workload to cheaper period provides only 3.7 % additional cost savings at best. Moreover, both average cost savings and price fluctuation have not been meaningfully changed over time.</abstract><cop>Washington, DC, USA</cop><pub>IEEE Computer Society</pub><doi>10.1109/CCGrid.2011.38</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9780769543956
ispartof 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2011, p.585-590
issn
language eng
recordid cdi_ieee_primary_5948651
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Amazon Web Services
Applied computing -- Enterprise computing
Applied computing -- Enterprise computing -- Business process management
Availability
Cloud computing
Computer systems organization -- Architectures -- Distributed architectures
History
Infrastructure-as-a-service
Networks -- Network services -- Network management
Pricing
Real time systems
Real-time Pricing
Scheduling algorithm
Silicon
Software and its engineering -- Software organization and properties -- Software system structures -- Distributed systems organizing principles
Spot Instance
title Debunking Real-Time Pricing in Cloud Computing
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-11-30T23%3A57%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-acm_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Debunking%20Real-Time%20Pricing%20in%20Cloud%20Computing&rft.btitle=2011%2011th%20IEEE/ACM%20International%20Symposium%20on%20Cluster,%20Cloud%20and%20Grid%20Computing&rft.au=Wee,%20Sewook&rft.date=2011-05-23&rft.spage=585&rft.epage=590&rft.pages=585-590&rft.isbn=9780769543956&rft.isbn_list=0769543952&rft.isbn_list=1457701294&rft.isbn_list=9781457701290&rft_id=info:doi/10.1109/CCGrid.2011.38&rft_dat=%3Cacm_6IE%3Eacm_books_10_1109_CCGrid_2011_38%3C/acm_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9780769543956&rft.eisbn_list=0769543952&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5948651&rfr_iscdi=true