epiC: an Extensible and Scalable System for Processing Big Data Dawei Jiang † , Gang Chen - Data processing system - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2014-02-06 11:09:52 Cloud infrastructure Cloud computing Apache Hadoop MapReduce Computer cluster PageRank Database management system Data Intensive Computing Apache Hama Computing Concurrent computing Parallel computing		epiC: an Extensible and Scalable System for Processing Big Data Dawei Jiang † , Gang Chen # , Beng Chin Ooi † , Kian-Lee Tan † , Sai Wu # # † School of Computing, National University of Singapore Add to Reading List Source URL: www.vldb.org Download Document from Source Website File Size: 401,08 KB Share Document on Facebook

	Under consideration for publication in Formal Aspects of Computing Maximally Concurrent Programs 1 DocID: 1xUtw - View Document
	Automated Verification of Concurrent Stochastic Games Marta Kwiatkowska1 , Gethin Norman2 , David Parker3 , and Gabriel Santos1 1 Department of Computing Science, University of Oxford, UK DocID: 1xTlL - View Document
	Fully Concurrent Garbage Collection of Actors on Many-Core Machines Sylvan Clebsch and Sophia Drossopoulou Department of Computing, Imperial College, London {sc5511, scd}@doc.ic.ac.uk DocID: 1tNeJ - View Document
	BritishLanthorn: Ubiquitous Homogeneous Cooperative Symmetries Ike Antkare International Institute of Technology United Slates of Earth DocID: 1ru6U - View Document
	Practical Optional Types for Clojure Ambrose Bonnaire-Sergeant† , Rowan Davies, Sam Tobin-Hochstadt† Indiana University†; Omnia Team, Commonwealth Bank of Australia {abonnair,samth}@indiana.edu, Rowan.Davies@cba. DocID: 1ru0R - View Document