71![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 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](https://www.pdfsearch.io/img/6dfbc316cacf099829a768e1a34ad4e5.jpg) | Add to Reading ListSource URL: perso.uclouvain.beLanguage: English - Date: 2015-01-14 15:27:36
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72![On 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](https://www.pdfsearch.io/img/29cfcfd08c092d84521d93ff541a3cb8.jpg) | Add to Reading ListSource URL: terrierteam.dcs.gla.ac.ukLanguage: English - Date: 2010-03-05 12:05:33
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73![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 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](https://www.pdfsearch.io/img/e3fa1c60632de94d4cb2e26895f045ec.jpg) | Add to Reading ListSource URL: www.cs.princeton.eduLanguage: English - Date: 2013-03-09 18:36:36
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74![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 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](https://www.pdfsearch.io/img/22b96449975011cb2ff65c30dfc8af06.jpg) | Add to Reading ListSource URL: www.sigspatial.orgLanguage: English - Date: 2015-09-12 15:26:48
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75![Making big data come alive. BIG DATA BUYER’S GUIDE + | thinkbiganalytics.com Making big data come alive. BIG DATA BUYER’S GUIDE + | thinkbiganalytics.com](https://www.pdfsearch.io/img/44eeddea52bb9a7eb0d5a6adc3899a01.jpg) | Add to Reading ListSource URL: thinkbiganalytics.comLanguage: English - Date: 2016-04-06 15:38:34
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76![The 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](https://www.pdfsearch.io/img/bf5e27e9bc913107399222deaa86fa59.jpg) | Add to Reading ListSource URL: personal.denison.eduLanguage: English - Date: 2015-11-10 08:26:34
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77![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 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](https://www.pdfsearch.io/img/b6cc0d06eab1840d275043598f2ec5ab.jpg) | Add to Reading ListSource URL: www.lawa-project.euLanguage: English - Date: 2012-05-21 04:09:14
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78![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 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](https://www.pdfsearch.io/img/a0b261434e235c17dd95439943446045.jpg) | Add to Reading ListSource URL: docs.cask.coLanguage: English - Date: 2015-08-04 21:39:15
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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.](https://www.pdfsearch.io/img/fb794a8b58604db0252a1ff817e4de76.jpg) | Add to Reading ListSource URL: hpts.wsLanguage: English - Date: 2015-10-01 08:29:46
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80![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 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](https://www.pdfsearch.io/img/63fd61a950738c363863b99df086f10e.jpg) | Add to Reading ListSource URL: www.chelsio.comLanguage: English - Date: 2015-04-01 04:36:38
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