Semantic Characterization of MapReduce Workloads Zhihong Xu Gregg Rothermel

Source URL: hirzels.com

A Using Clouds for MapReduce Measurement Assignments1 ARIEL RABKIN, CHARLES REISS, RANDY KATZ and DAVID PATTERSON, UC Berkeley We describe our experiences teaching MapReduce in a large undergraduate lecture course using

Source URL: asrabkin.bitbucket.org

Siddharth Suri www.sidsuri.com Research Statement There are two main threads to my research. Both focus on the study of networks, albeit using different techniques. I design algorithms for analyzing th

Source URL: www.sidsuri.com

• Concurrent computing
• Computing
• Parallel computing
• Software
• Distributed computing architecture
• MapReduce
• Apache Software Foundation
• Data-intensive computing
• Hadoop
• Apache Hadoop
• Crowdsourcing
• Jumbune

Parallelizing Machine Learning- Functionally A FRAMEWORK and ABSTRACTIONS for Parallel Graph Processing Philipp HALLER | Heather MILLER

Source URL: heather.miller.am

• Parallel computing
• Cybernetics
• Learning
• Computing
• Algorithm
• Mathematical logic
• Theoretical computer science
• MapReduce
• Machine learning
• Cognitive science
• Cognition
• P

Facilitating Consistency Check between Specification and Implementation with MapReduce Framework Shigeru KUSAKABE, Yoichi OMORI, and Keijiro ARAKI Grad. School of Information Science and Electrical Engineering, Kyushu Un

Source URL: wiki.overturetool.org

PDF Document

Source URL: cs.uwaterloo.ca

• Computing
• Data quality
• Data management
• Transaction processing
• Information technology
• Business intelligence
• Data cleansing
• MapReduce
• Data integrity
• Algorithm
• Relational model

Online Aggregation and Continuous Query support in MapReduce Tyson Condie, Neil Conway, Peter Alvaro, Joseph M. Hellerstein UC Berkeley John Gerth, Justin Talbot

Source URL: www.neilconway.org

Introduction to MapReduce, Hadoop, Spark, Shark and Mahout Christan Grant

Source URL: www.cise.ufl.edu

Information Retrieval: Assignment 2 Problempoints) Assume (i) that machines in MapReduce have 100 GB of disk space each; (ii) that the postings list of the term the has a size of 180 GB for a particular collectio

Source URL: www.cis.uni-muenchen.de

Analytics. For Anyone. Be Heroic Turn Data into Action

Source URL: www.xomnia.com

• Cloud computing
• Cloud infrastructure
• Hadoop
• Apache Hadoop
• Big data
• MapReduce
• RapidMiner
• MapR
• Pig
• Computing
• Concurrent computing
• Software