PPT-Discretized Streams: Fault-Tolerant Streaming Computation a

Author : calandra-battersby | Published Date : 2016-07-20

Matei Zaharia Tathagata Das Haoyuan Li Scott Shenker Ion Stoica University of California Berkeley Stream processing and the problem Processing real time

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Discretized Streams: Fault-Tolerant Streaming Computation a: Transcript

Matei Zaharia Tathagata Das Haoyuan Li Scott Shenker Ion Stoica University of California Berkeley Stream processing and the problem Processing real time data as they arrive. Rui. Wang, . Erlin. Yao, . Pavan. . Balaji. , Darius . Buntinas. , . Mingyu. Chen, and . Guangming. Tan. Argonne National Laboratory, Chicago, USA. ICT, Chinese Academy of Sciences, China. Hardware Resilience for large-scale systems. NoC. . Routing. with . Application-aware. Congestion . Management. Doowon Lee. , . Ritesh. Parikh and Valeria . Bertacco. University of Michigan. Wide Range of Applications. (. picture sources) 1. N-body . Minaashi Kalyanaraman . Pragya . Upreti. CSS 534 Parallel Programming. OVERVIEW. Fault Tolerance in MPI. Levels of survival in MPI. Approaches to . f. ault tolerance in MPI. Advantages & disadvantages of implementing fault tolerance in MPI. Amos Wang. Credit from: . Dr. . Axel . Krings. , Dr. . Behrooz. . Parhami. , . Prof. Jalal Y. . Kawash. , . . Kewal. . K.Saluja. , and Paul . Krzyzanowski. Introduction. Fault tolerance is related to . Fault-Tolerant Streaming Computation at Scale. Matei Zaharia, . Tathagata Das (TD). , . Haoyuan. . (. HY) Li, Timothy Hunter, Scott . Shenker. , Ion . Stoica. Motivation. Many big-data applications need to process large data streams in near-real time. 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.. Cezara. . Drăgoi. , INRIA ENS CNRS. Thomas A. . Henzinger. , IST Austria. Damien Zufferey. , MIT CSAIL. SNAPL, 2015.05.04. Fault-tolerant distributed algorithms. How to get it right when things go wrong ?. Storage Using . Random Linear Network Coding. Pouya . Ostovari and . Jie. Wu. Computer & Information Sciences. Temple University. Center for Networked . Computing. http://www.cnc.temple.edu. Agenda. Secure Runtimes. Ben . Zorn. Research in Software Engineering (. RiSE. ). Microsoft Research. In collaboration . with:. Emery Berger and Gene Novark, . UMass - Amherst. Ted Hart and Karthik Pattabiraman, . PhD Final Examination. 07/15/2015. Mehmet Can Kurt. Department of Computer Science & Engineering. Advisor: . Gagan. . Agrawal. Motivation. Significant transformation in hardware (multi-cores, GPUs, many-cores). CSC 8320 : AOS . Class Presentation. Shiraj Pokharel. Outline. What is Fault Tolerance?. Availability & Reliability. Failure Models. Process Resilience and Replication.. Case Study : Multicasting – Distributed Banking. Introduction to Fault-Tolerance Amos Wang Credit from: Dr . Axel Krings , Dr. Behrooz Parhami , Prof. Jalal Y. Kawash , Kewal K.Saluja , and Paul Krzyzanowski Introduction Fault tolerance is related to Multi-Party Communication Complexity. Binbin Chen . Advanced Digital Sciences Center. Haifeng Yu . . National University of Singapore. Yuda Zhao . National University of Singapore. Phillip B. Gibbons . BFS Structure. Merav. . Parter. . and David . Peleg. Weizmann Institute of Science, Israel. SODA 2014. Breadth First Search (BFS) Trees. Shortest-Path Tree . (BFS) rooted at. s. .. Sparse solution: .

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