{"643983":{"#nid":"643983","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Shruti Lall","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003ETime-shifted Prefetching and Edge-caching of Video Content to Reduce Peak-time Network Traffic\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp; \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Sivakumar, Advisor\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Fekri, Chair\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Blough\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe objective of the proposed research is to provide insights into video content consumption, and develop a set of data-driven prediction and prefetching algorithms, based on machine-learning and deep-learning techniques, which accurately anticipates the video content the user will consume, and caches it on edge nodes during off-peak periods to reduce peak-time usage.\u0026nbsp;Video streaming accounts for over 60% of global fixed downstream Internet traffic and 65% of worldwide mobile downstream traffic; and is expected to grow to 82% by 2022.\u0026nbsp;As a result of the increasing growth and popularity of video content, the network is heavily burdened. Typically, upgrades are triggered when there is a reasonably sustained peak usage that exceeds 80% of capacity. In this context, with network traffic load being significantly higher during peak periods (up to 5x as much),\u0026nbsp;we explore the problem of prefetching video content during off-peak periods of the network even when such periods are substantially separated from the actual usage-time.\u0026nbsp; To this end, we collect and perform an in-depth analysis on real-world datasets of YouTube and Netflix usage collected from over 1,200 users. Equipped with the datasets and our derived insights, we develop a set of data-driven prediction and prefetching algorithms, based on machine-learning and deep-learning techniques, which anticipates the video content the user will consume, and prefetches it during off-peak periods to reduce peak-time usage.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Time-shifted Prefetching and Edge-caching of Video Content to Reduce Peak-time Network Traffic"}],"uid":"28475","created_gmt":"2021-02-08 17:45:29","changed_gmt":"2021-02-08 17:45:29","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-03-04T14:00:00-05:00","event_time_end":"2021-03-04T16:00:00-05:00","event_time_end_last":"2021-03-04T16:00:00-05:00","gmt_time_start":"2021-03-04 19:00:00","gmt_time_end":"2021-03-04 21:00:00","gmt_time_end_last":"2021-03-04 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"},{"id":"1808","name":"graduate students"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}