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Concurrent computing
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#	Item
241	Benchmarking MapReduce Implementations for Application Usage Scenarios Zacharia Fadika 1 , Elif Dede 2 , Madhusudhan Govindaraju 3 , Lavanya Ramakrishnan‡ Grid and Cloud Computing Research Laboratory, Department of Com Add to Reading List Source URL: www.cs.binghamton.edu Language: English - Date: 2013-07-27 18:14:45 Computing Concurrent computing Parallel computing Apache Software Foundation Hadoop Cloud infrastructure Apache Hadoop Data-intensive computing MapReduce Computer cluster Pig Google File System
242	SECURITY AND COMMUNICATION NETWORKS Security Comm. NetworksPublished online in Wiley InterScience (www.interscience.wiley.com) DOI: sec.172 Attacking the Kad network---real world evaluation and high Add to Reading List Source URL: randombits.io Language: English - Date: 2015-06-29 10:17:00 Distributed data storage Computing Concurrent computing File sharing networks Distributed computing File sharing Kademlia Kad network Distributed computing architecture Peer-to-peer Overlay network EMule
243	Reactor 1 Reactor The Reactor design pattern handles service requests that are delivered concurrently to an application by one or more clients. Add to Reading List Source URL: www.laputan.org Language: English - Date: 1999-10-19 20:15:10 Software engineering Computer programming Software design patterns Concurrent computing Computing Reactor pattern Logistics Event loop Event Dispatch Proactor pattern
244	Synthesizing Context-Free Grammar Using Probabilistic Epistemologies Ike Antkare International Institute of Technology United Slates of Earth Add to Reading List Source URL: membres-lig.imag.fr Language: English - Date: 2014-01-09 04:24:28 Actor model Concurrent computing
245	Large-Scale Numerical Computation Using a Data Flow Engine Matei Zaharia Outline Add to Reading List Source URL: mmds-data.org Language: English - Date: 2014-06-24 03:07:59 Computing Concurrent computing Parallel computing Hadoop Distributed computing architecture Cloud infrastructure Apache Software Foundation MapReduce Apache Spark MapR Data-intensive computing Apache Hadoop
246	Transaction Processing is easy if you’re God Jose Faleiro Yale University The Problem: Concurrency Control Add to Reading List Source URL: hpts.ws Language: English - Date: 2015-10-01 08:28:39 Computing Transaction processing Data management Data Information science Concurrency control Databases Serializability Concurrent computing Lock Schedule
247	Project No : FP7Project Acronym: Add to Reading List Source URL: envisage-project.eu Language: English - Date: 2014-10-01 16:11:01 Software engineering Computer programming Computing Concurrent programming languages Functional languages Ericsson Erlang Simulation Syntax CSCM
248	Dataflow Constructs for a Language Extension Based on the Algebra of Communicating Processes André van Delft andre dot vandelft at gmail dot com ABSTRACT Add to Reading List Source URL: lampwww.epfl.ch Language: English - Date: 2014-03-18 17:06:31 Software engineering Computing Computer programming Functional languages Concurrent programming languages Scripting languages Cross-platform software Control flow Scala Futures and promises JavaScript Event loop
249	An Overview of Berkeley Lab Checkpoint/Restart (BLCR) for Linux Clusters Paul Hargrove with Jason Duell and Eric Roman http://ftg.lbl.gov/checkpoint Add to Reading List Source URL: crd.lbl.gov Language: English - Date: 2012-09-05 12:41:12 Computing Computer architecture Fault-tolerant computer systems Software Concurrent computing Parallel computing Application checkpointing Computer cluster Linux kernel Checkpoint Thread X86-64
250	WHITE PAPER What does AppEx do for Content Delivery Networks Maximizing Network Performance, Responsiveness and Availability Add to Reading List Source URL: appexnetworks.com Language: English - Date: 2014-11-07 00:56:07 Computing Concurrent computing Distributed computing Computer networking Internet broadcasting Cloud storage Digital television Internet television Content delivery network Akamai Technologies Dynamic site acceleration Streaming media

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