{"id":162114,"date":"2011-11-01T00:00:00","date_gmt":"2011-11-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/the-price-is-right-towards-location-independent-costs-in-datacenters\/"},"modified":"2020-07-03T18:49:18","modified_gmt":"2020-07-04T01:49:18","slug":"the-price-is-right-towards-location-independent-costs-in-datacenters","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/the-price-is-right-towards-location-independent-costs-in-datacenters\/","title":{"rendered":"The Price Is Right: Towards Location-Independent Costs in Datacenters"},"content":{"rendered":"
The performance and cost for tenants in today\u2019s datacenters depends on the location of their virtual machines within the datacenter. However, a tenant\u2019s location is a knob for the provider and is of no interest to the tenant. Hence, this paper argues for location independent tenant costs in datacenters. We show how a change in today\u2019s IaaS offerings, coupled with a simple pricing scheme, can achieve this. We discuss how such a pricing model can be implemented and show that the consequent increase in system throughput can lead to a win-win situation\u2013 tenant costs are location independent and lower while provider revenue increases too.<\/p>\n<\/div>\n
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The performance and cost for tenants in today\u2019s datacenters depends on the location of their virtual machines within the datacenter. However, a tenant\u2019s location is a knob for the provider and is of no interest to the tenant. Hence, this paper argues for location independent tenant costs in datacenters. We show how a change in […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13547],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-162114","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"ACM HotNets","msr_edition":"","msr_affiliation":"","msr_published_date":"2011-11-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"206318","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"hotnets11.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/hotnets11.pdf","id":206318,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":206318,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/hotnets11.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"Hitesh Ballani","user_id":32008,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Hitesh Ballani"},{"type":"user_nicename","value":"Paolo Costa","user_id":33218,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Paolo Costa"},{"type":"user_nicename","value":"Thomas Karagiannis","user_id":34031,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Thomas Karagiannis"},{"type":"user_nicename","value":"Ant Rowstron","user_id":31061,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Ant Rowstron"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[],"msr_project":[170657],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":170657,"post_title":"Predictable Data Centers (PDC)","post_name":"predictable-data-centers-pdc","post_type":"msr-project","post_date":"2011-02-11 10:10:03","post_modified":"2018-08-20 10:30:03","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/predictable-data-centers-pdc\/","post_excerpt":"Performance predictability is a key requirement for high-performant applications in today's multi-tenant datacenters. Online services running in infrastructure datacenters need such predictability to satisfy applications SLAs. Cloud datacenters require guaranteed performance to bound customer costs and spur adoption. However, the network and storage stack used in today\u2019s datacenters is unaware of such application requirements. This projects examines how to enable preditable datacenters. 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