{"id":154130,"date":"2008-06-01T00:00:00","date_gmt":"2008-06-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/fine-grained-energy-profiling-for-power-aware-application-design\/"},"modified":"2018-10-16T20:23:10","modified_gmt":"2018-10-17T03:23:10","slug":"fine-grained-energy-profiling-for-power-aware-application-design","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/fine-grained-energy-profiling-for-power-aware-application-design\/","title":{"rendered":"Fine-Grained Energy Profiling for Power-Aware Application Design"},"content":{"rendered":"
Signi\ufb01cant opportunities for power optimization exist at application design stage and are not yet fully exploited by system and application designers. We describe the challenges developers face in optimizing software for energy ef\ufb01ciency by exploiting application level knowledge. To address these challenges, we propose the development of automated tools that pro\ufb01le the energy usage of various resource components used by an application and guide the design choices accordingly. We use a preliminary version of a tool we have developed to demonstrate how automated energy pro\ufb01ling helps a developer choose between alternative designs in the energy performance trade-off space.<\/p>\n","protected":false},"excerpt":{"rendered":"
Signi\ufb01cant opportunities for power optimization exist at application design stage and are not yet fully exploited by system and application designers. We describe the challenges developers face in optimizing software for energy ef\ufb01ciency by exploiting application level knowledge. To address these challenges, we propose the development of automated tools that pro\ufb01le the energy usage of […]<\/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-154130","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"Association for Computing Machinery, Inc.","msr_edition":"First Workshop on Hot Topics in Measurement and Modeling of Computer Systems (HotMetrics08) at ACM Sigmetrics. (Archived in SIGMETRICS Perform. Eval. 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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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