Apache Hadoop

Results: 2113



#Item
71Application Aware Placement and Scheduling for Multi-tenant Clouds Lalith Suresh1 and Marco Canini2 1 Technische Universit¨at Berlin, Germany Universit´e Catholique de Louvain, Belgium

Application Aware Placement and Scheduling for Multi-tenant Clouds Lalith Suresh1 and Marco Canini2 1 Technische Universit¨at Berlin, Germany Universit´e Catholique de Louvain, Belgium

Add to Reading List

Source URL: perso.uclouvain.be

Language: English - Date: 2015-01-14 15:27:36
72On Single-Pass Indexing with MapReduce Richard M. C. McCreadie Craig Macdonald  Iadh Ounis

On Single-Pass Indexing with MapReduce Richard M. C. McCreadie Craig Macdonald Iadh Ounis

Add to Reading List

Source URL: terrierteam.dcs.gla.ac.uk

Language: English - Date: 2010-03-05 12:05:33
73Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael J. Franklin, Scott Shenker, I

Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael J. Franklin, Scott Shenker, I

Add to Reading List

Source URL: www.cs.princeton.edu

Language: English - Date: 2013-03-09 18:36:36
74Real-time Sensor Data Streams Silvia Nittel Spatial Informatics, School of Computing and Information Science, University of Maine, USA Abstract Today’s observation streams of large numbers of geographically distributed

Real-time Sensor Data Streams Silvia Nittel Spatial Informatics, School of Computing and Information Science, University of Maine, USA Abstract Today’s observation streams of large numbers of geographically distributed

Add to Reading List

Source URL: www.sigspatial.org

Language: English - Date: 2015-09-12 15:26:48
75Making big data come alive.  BIG DATA BUYER’S GUIDE +  | thinkbiganalytics.com

Making big data come alive. BIG DATA BUYER’S GUIDE +  | thinkbiganalytics.com

Add to Reading List

Source URL: thinkbiganalytics.com

Language: English - Date: 2016-04-06 15:38:34
76The Performance Characteristics of MapReduce Applications on Scalable Clusters Kenneth Wottrich Advisor: Dr. Thomas Bressoud

The Performance Characteristics of MapReduce Applications on Scalable Clusters Kenneth Wottrich Advisor: Dr. Thomas Bressoud

Add to Reading List

Source URL: personal.denison.edu

Language: English - Date: 2015-11-10 08:26:34
77Custom block distribution on HDFS Ari Yoskovitz Introduction Until this option was presented, Hadoop could only distribute blocks into HDFS in a uniform manner. Explicitly, each machine in the cluster got roughly the sam

Custom block distribution on HDFS Ari Yoskovitz Introduction Until this option was presented, Hadoop could only distribute blocks into HDFS in a uniform manner. Explicitly, each machine in the cluster got roughly the sam

Add to Reading List

Source URL: www.lawa-project.eu

Language: English - Date: 2012-05-21 04:09:14
78Cask Coopr is an open source template-based cluster management solution that provisions, manages and scales clusters for multi-tiered application stacks on public and private clouds. Features

Cask Coopr is an open source template-based cluster management solution that provisions, manages and scales clusters for multi-tiered application stacks on public and private clouds. Features

Add to Reading List

Source URL: docs.cask.co

Language: English - Date: 2015-08-04 21:39:15
79  Kudu:	
  Storage	
  for	
  Fast	
  Analy:cs	
   on	
  Fast	
  Data	
   Ippokra:s	
  Pandis	
  |	
  ippokra:	
   HPTS	
  2015	
   ©	
  Cloudera,	
  Inc.	
  All	
  rights	
  reserved.

  Kudu:  Storage  for  Fast  Analy:cs   on  Fast  Data   Ippokra:s  Pandis  |  ippokra:   HPTS  2015   ©  Cloudera,  Inc.  All  rights  reserved.

Add to Reading List

Source URL: hpts.ws

Language: English - Date: 2015-10-01 08:29:46
80Accelerating Hadoop with iWARP RDMA Execution-Time Benchmark Results for Big Data Offload Executive Summary Apache Hadoop is a framework that allows for the scalable distributed processing of large data sets across clust

Accelerating Hadoop with iWARP RDMA Execution-Time Benchmark Results for Big Data Offload Executive Summary Apache Hadoop is a framework that allows for the scalable distributed processing of large data sets across clust

Add to Reading List

Source URL: www.chelsio.com

Language: English - Date: 2015-04-01 04:36:38