{"628859":{"#nid":"628859","#data":{"type":"news","title":"Lall Chosen for ACM S3 Workshop Best Poster Award","body":[{"value":"\u003Cp\u003EShruti Lall was chosen for the Best Poster Award at the 11th ACM Wireless of the Students, by the Students, and for the Students (ACM S3) Workshop, held October 21, 2019 at Los Cabos, Mexico.\u0026nbsp;Lall is a Ph.D. student in the Georgia Tech School of Electrical and Computer Engineering.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShe and her coauthors on the poster are all affiliated with the Georgia Tech Networks and Mobile Computing Research Group (GNAN). Her coauthors are Raghupathy Sivakumar, her Ph.D. advisor, GNAN director, and the Wayne J. Holman Chair in ECE, and Uma\u0026nbsp;Parthavi Moravapalle, a spring 2019 ECE Ph.D. graduate who is now working at Google in Sunnyvale, California. The title of the award-winning poster is \u0026ldquo;While You Were Sleeping: Time-Shifted Prefetching of YouTube Videos to Reduce Peak-time Cellular Data Usage.\u0026rdquo;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWireless spectrum is expensive. The Federal Communication Commision\u0026rsquo;s most recent auction netted $45 billion for 65 MHz of spectrum. At the same time, the number of wireless users and the load that they impose on cellular networks has been rapidly growing. Wireless service providers are under tremendous pressure to either buy more spectrum or devise strategies to increase utilization of existing spectrum.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this work, Lall and her coauthors explore an interesting phenomenon\u0026ndash;usage of cellular networks during peak-usage hours (7 am-12 midnight) is approximately 5x the usage during off-peak hours (12 midnight-7 am). This leaves precious spectrum severely underutilized during the off-peak periods.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELall and her coauthors consider the following question: Is it possible to predict what content a user would consume during the next peak period and prefetch that content during the off-peak periods? They answer this question specifically in the context of the single most dominant application as determined by bandwidth usage\u0026ndash;YouTube. Using a dataset of over 1.8 million videos collected from 206 users over a period of one year, they show that it is possible to prefetch videos that a user is likely to watch during the next peak-usage period, and thus reduce peak-usage load on an average by 36 percent.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EECE Ph.D. student\u0026nbsp;Shruti Lall was chosen for the Best Poster Award at the 11th ACM Wireless of the Students, by the Students, and for the Students (ACM S3) Workshop, held October 21, 2019 at Los Cabos, Mexico.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"ECE Ph.D. student\u00a0Shruti Lall was chosen for the Best Poster Award at the 11th ACM Wireless of the Students, by the Students, and for the Students (ACM S3) Workshop, held October 21, 2019 at Los Cabos, Mexico."}],"uid":"27241","created_gmt":"2019-11-11 16:42:04","changed_gmt":"2019-11-11 16:43:23","author":"Jackie Nemeth","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-11-11T00:00:00-05:00","iso_date":"2019-11-11T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"628856":{"id":"628856","type":"image","title":"Shruti Lall","body":null,"created":"1573489975","gmt_created":"2019-11-11 16:32:55","changed":"1573489975","gmt_changed":"2019-11-11 16:32:55","alt":"photograph of Shruti Lall","file":{"fid":"239497","name":"Shruti Lall.jpeg","image_path":"\/sites\/default\/files\/images\/Shruti%20Lall.jpeg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/Shruti%20Lall.jpeg","mime":"image\/jpeg","size":33016,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Shruti%20Lall.jpeg?itok=3e3Pn4NX"}}},"media_ids":["628856"],"related_links":[{"url":"http:\/\/gnan.ece.gatech.edu","title":"Georgia Tech Networks and Mobile Computing Group"},{"url":"http:\/\/www.ece.gatech.edu","title":"School of Electrical and Computer Engineering"},{"url":"http:\/\/www.gatech.edu","title":"Georgia Tech"},{"url":"https:\/\/s32019.blogs.rice.edu","title":"11th ACM Wireless of the Students, by the Students, and for the Students (ACM S3) Workshop"}],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"143","name":"Digital Media and Entertainment"},{"id":"145","name":"Engineering"}],"keywords":[{"id":"183042","name":"Shruti Lall"},{"id":"20191","name":"Raghupathy Sivakumar"},{"id":"183043","name":"Uma Parthavi Moravapalle; 11th ACM Wireless of the Students"},{"id":"183044","name":"by the Students"},{"id":"183045","name":"and for the Students (ACM S3) Workshop; Georgia Tech Networks and Mobile Computing Research Group"},{"id":"109","name":"Georgia Tech"},{"id":"166855","name":"School of Electrical and Computer Engineering"},{"id":"12681","name":"YouTube"},{"id":"183046","name":"peak-time cellular data usage"},{"id":"183047","name":"wireless spectrum"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39451","name":"Electronics and Nanotechnology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJackie Nemeth\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Electrical and Computer Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003E404-894-2906\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["jackie.nemeth@ece.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}