PPT-X-Stream: Edge-Centric Graph Processing using Streaming Par

Author : trish-goza | Published Date : 2017-01-13

Amitabha Roy Ivo Mihailovic Willy Zwaenepoel 1 Graphs 2 HyperANF Pagerank ALS Interesting information is encoded as graphs Big Graphs Large graphs are a subset

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "X-Stream: Edge-Centric Graph Processing ..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

X-Stream: Edge-Centric Graph Processing using Streaming Par: Transcript


Amitabha Roy Ivo Mihailovic Willy Zwaenepoel 1 Graphs 2 HyperANF Pagerank ALS Interesting information is encoded as graphs Big Graphs Large graphs are a subset of the big data . Large-scale near-real-time stream processing. Tathagata . Das (TD). along with. Matei. . Zaharia. , . Haoyuan. Li, Timothy Hunter, Scott . Shenker. , Ion . Stoica. , and many others. UC BERKELEY. What is . 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. 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. Introduction . Apache Storm is a real-time fault-tolerant and distributed Stream Processing Engine.. Open Sourced September 19. th. 2011. Main languages-. Clojure.   and the JAVA.. Some of the Characteristics of storm are Fast, Scalable, Fault-tolerant, Reliable and Easy to operate.. of . Graph Streams. Arijit Khan. Charu. C. Aggarwal. Nanyang Technical University. Singapore. IBM. T. J. Watson Research Lab. NY,. USA. Graph Streams. 1. /23. Graph Stream:. Continuous stream of graph edges . Arnav Agarwal. Srujun Thanmay Gupta. Shivam. . Bharuka. What is Stream Processing?. Infrastructure for continuous processing of data. Various applications for analysis of live data streams. Two types of operations:. 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. Theory and Practice with Apache Flink at Uber. QCon.ai, . San Francisco. April, 11th 2018. Fabian . Hueske. Shuyi Chen. What is Apache Flink?. 2. Batch Processing. process static and. historic data. Michelle Vonderhaar. Technology Training Coordinator. 9/14/2015. What is Streaming?. What Do You Need to Stream?. Streaming Device. Streaming Service. GOOD internet access/Wi-Fi. Time to watch . . Michelle Vonderhaar. Technology Training Coordinator. 9/14/2015. What is Streaming?. What Do You Need to Stream?. Streaming Device. Streaming Service. GOOD internet access/Wi-Fi. Time to watch . . Presented by Amanda Sidorowicz Moraine Valley Community College. About live streaming…. What is streaming?. Transmitting video and audio over the Internet in real-time. Distributed Graph Analytics. Loc Hoang               Roshan Dathathri. Gurbinder Gill                Keshav Pingali. 1. Distributed Graph Analytics. Analytics on unstructured data. Finding suspicious actors in crime networks. E. nvironment for . R. eal-time . S. treaming, . A. cquisition and . P. rocessing . FBP based, reactive data-stream processing framework. V. Gyurjyan, G. . Heyes. , D. Lawrence, C. Timmer, N. Brey, C. Cuevas, D. Abbott, B. . It’s no secret that this world we live in can be pretty stressful sometimes. If you find yourself feeling out-of-sorts, pick up a book.According to a recent study, reading can significantly reduce stress levels. In as little as six minutes, you can reduce your stress levels by 68%.

Download Document

Here is the link to download the presentation.
"X-Stream: Edge-Centric Graph Processing using Streaming Par"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents