{"601679":{"#nid":"601679","#data":{"type":"event","title":"PhD Proposal by Karim Habak","body":[{"value":"\u003Cp\u003ETitle:\u0026nbsp;Mobile Device Clusters as Edge Compute Resources: Design, Deployment, and Role in the Computing Ecosystem\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nKarim\u0026nbsp;Habak\u003Cbr \/\u003E\r\nSchool of Computer Science\u003Cbr \/\u003E\r\nCollege of Computing\u003Cbr \/\u003E\r\nGeorgia Institute of Technology\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nDate: Thursday, February\u0026nbsp; 1st, 2018\u003Cbr \/\u003E\r\nTime:\u0026nbsp;3 PM to 5 PM EST\u003Cbr \/\u003E\r\nLocation: Clough Commons 150\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nCommittee:\u003Cbr \/\u003E\r\n------------\u003Cbr \/\u003E\r\nDr.\u0026nbsp;Mostafa Ammar (Advisor,\u0026nbsp;School of Computer Science, Georgia Tech)\u003Cbr \/\u003E\r\nDr.\u0026nbsp;Ellen W. Zegura\u0026nbsp;(Co-Advisor,\u0026nbsp;School of Computer Science, Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr.\u0026nbsp;Umakishore Ramachandran\u0026nbsp;(School of Computer Science, Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Ada Gavrilovska (School of Computer Science, Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Khaled Harras (School of Computer Science, Carnegie Mellon University Qatar)\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nSummary:\u003Cbr \/\u003E\r\n-----------\u003C\/p\u003E\r\n\r\n\u003Cp\u003EEdge computing offers an alternative to centralized, in-the-cloud compute services. Among the potential\u0026nbsp;advantages of edge-computing are lower latency that improves responsiveness, reduced wide-area network congestion, and possibly greater privacy by keeping data more local. However, widely deploying the needed\u0026nbsp;edge-compute resources requires (1) provisioning the load introduced at various locations, (2) huge initial\u0026nbsp;deployment cost and management expenses, and (3) continuous upgrades to keep up with the increase in demand.\u0026nbsp;The availability of under-utilized mobile and personal computing devices at the edge provides a potential\u0026nbsp;solution to these deployment challenges. In this thesis, we propose taking advantage of clusters of\u0026nbsp;co-located mobile devices to offer an edge computing platform. Scenarios with co-located devices include,\u0026nbsp;but are not limited to, passengers with mobile devices using public transit services, students in classrooms\u0026nbsp;and groups of people sitting in a coffee shop. We propose, design, implement and evaluate the Femtocloud\u0026nbsp;system which provides a dynamic, self-configuring and multi-device mobile cloud out of a cluster of mobile\u0026nbsp;devices. Within the Femtocloud system, we develop a variety of adaptive mechanisms and algorithms to manage\u0026nbsp;the workload on the edge-resources and effectively mask their churn. These mechanisms enabled building a\u0026nbsp;reliable and efficient edge computing service on top of unreliable, voluntary resources. Our work also\u0026nbsp;includes building a network measurement system that enables mobile devices to accurately and efficiently\u0026nbsp;acquire knowledge of their network parameters while communicating with a variety of compute service providers.\u0026nbsp;The measurements, acquired by our system, allow mobile devices to select the compute service provider that\u0026nbsp;matches their demand and meet their target level of quality of experience. Our system also aggregate the\u0026nbsp;measurements obtained by all the mobile devices and use them to reduce the measurement overhead and identify\u0026nbsp;locations where edge resource deployment will be beneficial.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":": Mobile Device Clusters as Edge Compute Resources: Design, Deployment, and Role in the Computing Ecosystem"}],"uid":"27707","created_gmt":"2018-01-31 18:29:28","changed_gmt":"2018-01-31 18:29:28","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-02-01T15:00:00-05:00","event_time_end":"2018-02-01T17:00:00-05:00","event_time_end_last":"2018-02-01T17:00:00-05:00","gmt_time_start":"2018-02-01 20:00:00","gmt_time_end":"2018-02-01 22:00:00","gmt_time_end_last":"2018-02-01 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}