{"171431":{"#nid":"171431","#data":{"type":"event","title":"Ph.D. Thesis Proposal: Mukil Kesavan","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EPh.D. Thesis Proposal\u003C\/strong\u003E \u003Cbr \/\u003ETitle: \u003Cstrong\u003EPractical Elastic Resource Allocation in Cloud Datacenters\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cbr \/\u003EMukil Kesavan\u003Cbr \/\u003ESchool of Computer Science\u003Cbr \/\u003ECollege of Computing\u003Cbr \/\u003EGeorgia Institute of Technology\u003Cbr \/\u003E\u003Cbr \/\u003EDate: Tuesday, November 20, 2012\u003Cbr \/\u003ETime: 11:00 AM - 1:00 PM EST\u003Cbr \/\u003ELocation: Klaus 2100\u003Cbr \/\u003E\u003Cbr \/\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EDr. Karsten Schwan, School of Computer Science (Advisor)\u003C\/li\u003E\u003Cli\u003EDr. Ada Gavrilovska, School of Computer Science\u0026nbsp; (Advisor)\u003C\/li\u003E\u003Cli\u003EDr. Douglas M. Blough, School of Electrical \u0026amp; Computer Engineering\u003C\/li\u003E\u003Cli\u003EDr. Ravi Soundararajan, VMware Inc.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u003Cbr \/\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003Cbr \/\u003EElastic resource allocation systems are critical to managing application performance and infrastructure utilization in datacenters. Architecting a realistic solution for multiplexing capacity across an entire datacenter, at the scale of thousands of machines, brings with it a lot of challenges. There are foreseeable issues such as scalability, overhead and accuracy of allocation methods that need to be overcome. In addition, there are unavoidable practical issues at scale, particularly,\u003Cbr \/\u003E(i) the variable cost of carrying out the management actions necessary to enforce allocations and, (ii) failures in those management actions, that can seriously constrain the achievable benefits. Further, the uncertainty in resource allocation caused by these factors results in unpredictable application level performance.\u003Cbr \/\u003E\u003Cbr \/\u003EThis thesis addresses the problem of realizing a scalable elastic resource allocation system that can work well in real-life environments with the aforementioned practical constraints. We make the following concrete contributions:\u003Cbr \/\u003E\u003Cbr \/\u003E* A detailed analysis of the impact of management failures and cost variability on elastic resource allocation efficiency. This includes new metrics with which to evaluate and compare the performance of similar systems.\u003Cbr \/\u003E\u003Cbr \/\u003E* The design and construction of a hierarchical datacenter-wide resource allocation system that can dynamically trade-off between allocation accuracy and management overheads while adapting to the constraints imposed by observed failure and variability behavior. Our system is currently deployed on a 700 server datacenter virtualized with the VMware vSphere platform.\u003Cbr \/\u003E\u003Cbr \/\u003E* The co-design of elastic resource allocation system and application framework to reduce end performance variability.\u003Cbr \/\u003E\u003Cbr \/\u003E* A cloud workload suite consisting of a load generation framework and popular cloud codes that can be used to generate realistic datacenter-wide resource usage scenarios. This enables accurate evaluation of the target system.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Practical Elastic Resource Allocation in Cloud Datacenters"}],"uid":"1","created_gmt":"2012-11-15 13:42:13","changed_gmt":"2016-10-08 02:01:17","author":"Jupiter","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2012-11-20T10:00:00-05:00","event_time_end":"2012-11-20T12:00:00-05:00","event_time_end_last":"2012-11-20T12:00:00-05:00","gmt_time_start":"2012-11-20 15:00:00","gmt_time_end":"2012-11-20 17:00:00","gmt_time_end_last":"2012-11-20 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:mukilk@gatech.edu\u0022\u003EMukil Kesavan\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}