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Data-intensive computing
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241	Resilient Distributed Datasets A Fault-‐Tolerant Abstraction for In-‐Memory Cluster Computing Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-02-02 20:47:35 Fault-tolerant computer systems Distributed computing architecture MapReduce Database Computer cluster Replication Data Intensive Computing Computing Concurrent computing Parallel computing
242	Spark In-‐Memory Cluster Computing for Iterative and Interactive Applications Matei Zaharia, Mosharaf Chowdhury, Justin Ma, Michael Franklin, Sc Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-02-02 20:47:35 MapReduce Computer cluster Cache Data Intensive Computing Concurrent computing Computing Parallel computing
243	Disk-Locality in Datacenter Computing Considered Irrelevant Ganesh Ananthanarayanan, Ali Ghodsi, Scott Shenker, Ion Stoica University of California, Berkeley {ganesha, alig, shenker, istoica}@cs.berkeley.edu 1 Introduct Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2011-04-18 15:09:08 Software Apache Hadoop Cache Solid-state drive Computer data storage CPU cache Data Intensive Computing Dynamic random-access memory Computing Computer memory Computer hardware
244	ComMapReduce: An Improvement of MapReduce with Lightweight Communication Mechanisms Linlin Ding† , Guoren Wang†∗ , Junchang Xin† , Xiaoyang Wang† , Shan Huang† , Rui Zhang‡ † Add to Reading List Source URL: www.ruizhang.info Language: English - Date: 2012-10-24 00:53:46 Distributed computing architecture MapReduce Cloud computing Cloud infrastructure Apache Hadoop Transaction processing Scalability Computer cluster Data Intensive Computing Computing Concurrent computing Parallel computing
245	BigFoot: Big Data Analytics of Digital Footprints Project name Project ID Working Package Number Add to Reading List Source URL: bigfootproject.eu Language: English - Date: 2014-10-24 04:37:38 Parallel computing Cloud infrastructure Apache Hadoop Cloud computing Data Intensive Computing Computer cluster Scheduling Batch processing MapReduce Computing Concurrent computing Planning
246	UC Berkeley Job Scheduling for MapReduce Matei Zaharia, Dhruba Borthakur, Joydeep Sen Sarma, Scott Shenker, Ion Stoica RAD Lab, Facebook Inc Add to Reading List Source URL: www.cs.berkeley.edu Language: English* - Date: 2014-02-02 20:47:34 Cloud infrastructure Cloud computing Apache Hadoop Scheduling algorithms MapReduce Computer cluster Scheduling Job scheduler Data Intensive Computing Computing Concurrent computing Parallel computing
247	MapReduce Programming Model for .NET-based Distributed Computing Chao Jin and Rajkumar Buyya Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering The Universit Add to Reading List Source URL: www.cloudbus.org Language: English - Date: 2008-10-17 03:59:04 Cloud computing Cloud infrastructure Distributed computing architecture MapReduce Apache Hadoop Distributed computing HPCC Data Intensive Computing Computer cluster Computing Concurrent computing Parallel computing
248	Robust Data Transformations Alekh Jindal, CSAIL MIT ABSTRACT Background. Massively parallel data processing systems are ubiquitous in today’s big data era. Examples include Hadoop, Spark, Stratosphere, and a number of Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-12-18 01:52:12 Data analysis Scientific method Data transformation Ad hoc Data Intensive Computing Information Data Science
249	WHITE PAPER Ubuntu and Hadoop: the perfect match February 2012 © Copyright Canonical 2012 Add to Reading List Source URL: insights.ubuntu.com Language: English - Date: 2014-05-01 05:47:23 Cloud infrastructure Hadoop Apache Hadoop Cloudera Big data MapR Ubuntu HBase Data Intensive Computing Computing Cloud computing Concurrent computing
250	Flexible and Scalable Storage Management for Data-intensive Stream Processing ∗ Irina Botan, Gustavo Alonso, Peter M. Fischer, Donald Kossmann, Nesime Tatbul Systems Group, Department of Computer Science, ETH Zurich { Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-12-15 07:59:12 Data Database theory Database Extract transform load Relational database Producer-consumer problem Computer data storage FIFO SQL Data management Computing Database management systems

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