{"id":190536,"date":"2013-03-27T00:00:34","date_gmt":"2013-03-27T07:00:34","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/hypervisor-scheduler-enhancement-using-os-hardware-interactions\/"},"modified":"2016-09-09T15:32:37","modified_gmt":"2016-09-09T22:32:37","slug":"hypervisor-scheduler-enhancement-using-os-hardware-interactions","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/hypervisor-scheduler-enhancement-using-os-hardware-interactions\/","title":{"rendered":"Hypervisor Scheduler Enhancement Using OS-Hardware Interactions"},"content":{"rendered":"<div class=\"asset-content\">\n<p>As the hypervisor has become a common software layer in conventional software stack and applications are continuously diversifying, computing environments have now undergone increasing gap between end-user software and underlying hardware. In particular, the design principle of lightweight hypervisor causes a blockage to information flow while granting the workload-agnostic hypervisor the entire control of bare-metal hardware resources. The blockage leads the hypervisor to ineffective decisions about CPU resource scheduling, which is a primitive role of arbitrating the competing demands of workload executions, due to the lack of workload information. In this talk, I present two CPU scheduling approaches devised to improve the performance of consolidated workloads using common OS-hardware interactions: 1) Demand-based coordinated scheduling for SMP VMs, and 2) task-aware scheduling for I\/O-intensive and interactive workloads.<br \/>\nFirstly, the demand-based coordinated scheduling addresses scheduling issues arising when communication-intensive workloads are hosted on multiprocessor VMs, which share underlying multi-core processors. Inspired by the demand-based coscheduling demonstrated in cluster environments, I devised an SMP VM scheduling scheme that dynamically coordinates vCPUs based on their communication (i.e., inter-processor interrupt). Secondly, task-aware VM scheduling makes a task-oblivious hypervisor scheduler aware of task-level characteristics such as I\/O-boundness and user interactivity. To this end, I devised several inference techniques based on per-task CPU time and I\/O events that can be captured by OS-hardware interactions.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>As the hypervisor has become a common software layer in conventional software stack and applications are continuously diversifying, computing environments have now undergone increasing gap between end-user software and underlying hardware. In particular, the design principle of lightweight hypervisor causes a blockage to information flow while granting the workload-agnostic hypervisor the entire control of bare-metal [&hellip;]<\/p>\n","protected":false},"featured_media":198185,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-190536","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/ubTvYm6Aw_M","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/190536","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/190536\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/198185"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=190536"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=190536"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=190536"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=190536"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=190536"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=190536"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=190536"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=190536"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=190536"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=190536"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}