PPT-Streaming Algorithm

Presented by Group 7 Advanced Algorithm National University of Singapore Min Chen Zheng Leong Chua Anurag Anshu Samir Kumar Nguyen Duy Anh Tuan Hoo Chin Hau Jingyuan Chen Motivation. ESSAY REVISION. ESSAY PLANNING Q AND A. TIMED ESSAY ON THEORIES OF EDUCATION. COFFEE BREAK. INTRODUCTION TO LABELLING AND STREAMING –ACTIVITY. PP SLIDES: STREAMING /LABELLING HARGREAVES AND BALL. ESSAY AND EXAM PLANNING. Anup. Bhattacharya. IIT Delhi. . Joint work with Davis . Issac. (MPI), . Ragesh. . Jaiswal. (IITD) and Amit Kumar (IITD). Introduction: Sampling. Select a subset of data. Computations on “representative” subset would approximate computations on whole data. 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.. Nitzan. . Weissman. 1. Overview. What is a streaming algorithm?. Data stream algorithms:. Finding Maximum. Counting distinct elements. Graph Stream algorithms:. Insert-only streams- spanners. Sliding window- connectivity. applications. Alan Jović, Karla Brkić, Nikola Bogunović. E-mail: {alan.jovic, karla.brkic, nikola.bogunovic}@fer.hr. Faculty of Electrical Engineering and Computing, University of Zagreb. Department of Electronics, Microelectronics, Computer and Intelligent Systems. Surface Reconstruction. Matthew Bolitho,. Michael Kazhdan,. Randal Burns,. Hugues Hoppe. Motivation. With improvements in. acquisition technology,. huge datasets are now. available for processing.. USGS . By. Nirvan Sagar – 14563364. Srishti. . Ganjoo. – 53526280. Syed . Shahbaaz. . Safir. - 64882986. Introduction. Increasing consumer demand for streaming of high definition (HD) content has led to the need for resilient, fault tolerant, and high bandwidth connectivity.. McLachlan, G., & Peel, D. (2001). . Finite mixture models. . New York: Wiley.. Murphy, K. P. (2013). . Machine learning: a probabilistic perspective. . Cambridge, Mass.: MIT Press.. Bishop, C. M. (2013). . 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”. 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.. Disusun. . Oleh. :. *. Dito. . Setyo. . R(140303090006). *. M. . Beben. . P(140303090021). *. M.Mehdi. H.K.(. 140303090023). *. M.Octaviano. . Pratama. (140303090008). *. Ricky . Rustiadi. (140303090012). /. 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.