{"id":154874,"date":"2008-12-07T00:00:00","date_gmt":"2008-12-07T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/energy-aware-consolidation-for-cloud-computing\/"},"modified":"2018-10-16T21:43:57","modified_gmt":"2018-10-17T04:43:57","slug":"energy-aware-consolidation-for-cloud-computing","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/energy-aware-consolidation-for-cloud-computing\/","title":{"rendered":"Energy Aware Consolidation for Cloud Computing"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Consolidation of applications in cloud computing environments presents a significant opportunity for energy optimization. As a first step toward enabling energy efficient consolidation, we study the inter-relationships between energy consumption, resource utilization, and performance of consolidated workloads. The study reveals the energy performance trade-offs for consolidation and shows that optimal operating points exist. We model the consolidation problem as a modified bin packing problem and illustrate it with an example. Finally, we outline the challenges in finding effective solutions to the consolidation problem.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Consolidation of applications in cloud computing environments presents a significant opportunity for energy optimization. As a first step toward enabling energy efficient consolidation, we study the inter-relationships between energy consumption, resource utilization, and performance of consolidated workloads. The study reveals the energy performance trade-offs for consolidation and shows that optimal operating points exist. We model [&hellip;]<\/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-154874","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"USENIX","msr_edition":"USENIX HotPower'08: Workshop on Power Aware Computing and Systems at OSDI","msr_affiliation":"","msr_published_date":"2008-12-07","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":"224749","msr_publicationurl":"http:\/\/www.usenix.org\/events\/hotpower08\/tech\/full_papers\/srikantaiah\/srikantaiah_html\/","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"srikantaiah_hotpower08.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/12\/srikantaiah_hotpower08.pdf","id":224749,"label_id":0},{"type":"url","title":"http:\/\/www.usenix.org\/events\/hotpower08\/tech\/full_papers\/srikantaiah\/srikantaiah_html\/","viewUrl":false,"id":false,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":0,"url":"http:\/\/www.usenix.org\/events\/hotpower08\/tech\/full_papers\/srikantaiah\/srikantaiah_html\/"},{"id":224749,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2008\/12\/srikantaiah_hotpower08.pdf"}],"msr-author-ordering":[{"type":"text","value":"Shekhar Srikantaiah","user_id":0,"rest_url":false},{"type":"user_nicename","value":"kansal","user_id":32485,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=kansal"},{"type":"user_nicename","value":"zhao","user_id":35103,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=zhao"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[],"msr_project":[170430],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":170430,"post_title":"Joulemeter: Computational Energy Measurement and Optimization","post_name":"joulemeter-computational-energy-measurement-and-optimization","post_type":"msr-project","post_date":"2010-02-23 13:37:09","post_modified":"2017-06-16 14:49:41","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/joulemeter-computational-energy-measurement-and-optimization\/","post_excerpt":"The public release of Joulemeter is deprecated. We apologize for any inconvenience.The Joulemeter project provides a modeling tool to measure the energy usage of virtual machines (VMs), servers, desktops, laptops, and even individual software applications running on a computer. The visibility provided by Joulemeter is being used to improve power provisioning costs for data centers, virtualized power budgeting, desktop energy optimizations, and mobile battery management. Note: Joulemeter is no longer available for public download. 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