PPT-A simple model for analyzing P2P streaming protocols.

Author : pamella-moone | Published Date : 2017-01-28

Seminar on advanced Internet applications and systems Amit Farkash 1 The problem The engineering of streaming video from a server to a single client is well

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A simple model for analyzing P2P streaming protocols.: Transcript

Seminar on advanced Internet applications and systems Amit Farkash 1 The problem The engineering of streaming video from a server to a single client is well studied and understood This however is not scalable to serve a large number of clients simultaneously . Large-scale . near-. real-time . stream processing. UC BERKELEY. Tathagata Das (TD). Motivation. Many important applications must process large . data streams . at second-scale latencies. Check-ins, status updates, site . Rutuja Raghoji . Ramya. . Tridandapani. Malini. . Karunagaran. P2P with respect to media streaming. Users contribute content they have already consumed back to other users of the application.. Considerable intelligence to be located at the edge of the network.. Suggest Variable Star Universality. John F. . L. indner, Wooster College. Presented by . John . G. Learned. University of Hawai’i at Mānoa. Collaboration. John F. Lindner. The College of Wooster. Vivek Kohar. Benjamin Stephens. Thesis Proposal. Carnegie Mellon, Robotics Institute. November 23, 2009. Committee:. Chris . Atkeson. (chair). Jessica. . Hodgins. Hartmut. Geyer. Jerry Pratt (IHMC). 2. Thesis Proposal Overview. sAS. 9.4. Andy Lin. IDRE Statistical Consulting. Background. Regression models effects of IVs on DVs.. E.g. does amount of time exercising predict weight loss?. Can also model effect of IV . modified. 1. Source: Nielsen Total Audience Report, Q1’16; based on cross-platform homes ranked by in-home streaming behavior. 1/1/16-3/31/16 via Nielsen NPOWER/Cross-Platform Homes Panel for P2 . Streaming based on home PC only. Chart based on “average daily minutes”. Jana Gevertz, Associate Professor. Department of Mathematics & Statistics. The College of New Jersey (TCNJ). outline. A mathematical biology paradigm. Case study: modeling tumor response to oncolytic . NSF 1443054: CIF21 DIBBs: Middleware and High Performance Analytics Libraries for Scalable Data Science. Big Data . Use Cases February 2017. 1. Application Nexus of HPC, Big Data, Simulation Convergence. Jim Stock. Department of Economics, Harvard University. SDSCon. 2017, MIT. April 21, 2017. Thanks . to Robert . Kaufmann (BU), Felix Prentis (Oxford), and Giselle . Montamat. (Harvard). Climate science: the policy landscape. sAS. 9.4. Andy Lin. IDRE Statistical Consulting. Background. Regression models effects of IVs on DVs.. E.g. does amount of time exercising predict weight loss?. Can also model effect of IV . modified. Definition. Dependent variable,. LHS variable,. explained. variable,. response. variable,…. Independent variable,. RHS variable,. explanatory variable,. Control variable,…. Error term,. disturbance,. Ramya. . Tridandapani. Malini. . Karunagaran. P2P with respect to media streaming. Users contribute content they have already consumed back to other users of the application.. Considerable intelligence to be located at the edge of the network.. /. after. . DeGroote. Consulting Group. Elizabeth, . Chinomnso. , Marley, Britney. 1. 2. ever/after. Augmented reality. Lightsaber enabled. 3. How might Disney . disrupt online streaming . leveraging synergies . Feb 2014. OSI Layers Introduction. Data. Application. Network Process to . Application. Data. Presentation. Data Representation . and Encryption. Data. Session. Inter-host Communication. Segments. Transport.

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