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Events for May 29, 2019

  • Repeating EventMeet USC: Admission Presentation, Campus Tour, and Engineering Talk

    Wed, May 29, 2019

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    This half day program is designed for prospective freshmen (HS juniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.

    Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.

    Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!

    RSVP

    Location: Ronald Tutor Campus Center (TCC) - USC Admission Office

    Audiences: Everyone Is Invited

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    Posted By: Viterbi Admission

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  • PhD Defense - Zahaib Akhtar

    Wed, May 29, 2019 @ 10:00 AM - 12:00 PM

    Computer Science

    University Calendar


    PhD Candidate: Zahaib Akhtar
    Date:
    Wednesday May 29th, 2019
    10:00a.m. - 12:00
    Location: SAL 2nd Floor Conference Room
    Committee: Antonio Ortega, Barath Raghavan, Ramesh Govindan

    Title:
    Understanding and Optimizing Video Delivery

    Abstract:
    In this work, we strive to understand and optimize the performance of systems which serve video over the Internet. Towards this end, we make the following three contributions. First, we perform a systematic study of the video management plane -- the systems which form the video delivery pipeline. Second, we propose an approach called Oboe to improve the performance of client side video players by tuning Adaptive Bitrate Algorithms to the characteristics of a network. A range of different algorithm when augmented with Oboe improve their performance by up to 25%. Finally, we propose a caching algorithm called AVC which is specifically tailored for video workload. AVC outperforms state of the art caching algorithms by exploiting various properties of adaptive bitrate video. In particular, a LRU cache requires 3x the memory used by AVC to match its performance.

    Location: Henry Salvatori Computer Science Center (SAL) - 213

    Audiences: Everyone Is Invited

    Posted By: Lizsl De Leon

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