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841	Stockholm[removed]Online scheduling platform Doodle expands to Nordics through partnership with Sellbranch Doodle as the leading global online scheduling platform now comes to the Nordics. Nordic Doodle users have he Add to Reading List Source URL: sellbranch.com Language: English - Date: 2015-03-24 05:55:46 Videotelephony Doodle.com Meetings Yahoo! Software Computing World Wide Web
842	Helping in a multiprocessor environment Michael Hohmuth Michael Peter Dresden University of Technology Add to Reading List Source URL: os.inf.tu-dresden.de Language: English - Date: 2001-09-19 11:02:15 Spinlock Thread Scheduling Lock Load Critical section Context switch Test-and-set Non-blocking algorithm Computing Concurrency control Concurrent computing
843	CHAPTER SIX FLOW OF TIME At this point, we know the basics of how to write a full-featured char module. Real-world drivers, however, need to do more than implement the necessary operations; they have to deal with issues Add to Reading List Source URL: www.xml.com Language: English - Date: 2001-07-12 23:10:08 Interrupts BogoMips Linux kernel Context switch Scheduling Interrupt handler Load Kernel Ring Computer architecture Computing System software
844	Managing Data Transfers in Computer Clusters with Orchestra Mosharaf Chowdhury, Matei Zaharia, Justin Ma, Michael I. Jordan, Ion Stoica University of California, Berkeley {mosharaf, matei, jtma, jordan, istoica}@cs.berk Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-02-02 20:47:34 Cloud computing Cloud infrastructure Apache Hadoop Scheduling algorithms Network topology MapReduce Scheduling Computer cluster Communications protocol Computing Concurrent computing Parallel computing
845	PriorityMeister: Tail Latency QoS for Shared Networked Storage Timothy Zhu∗ Alexey Tumanov∗ Michael A. Kozuch† Mor Harchol-Balter∗ Gregory R. Ganger∗ Add to Reading List Source URL: www.pdl.cmu.edu Language: English - Date: 2014-10-14 11:44:01 Scheduling Differentiated services Service level objective Low latency Management Engineering Computing Token bucket Latency
846	Exploiting Application Tunability for Efficient, Predictable Parallel Resource Management Fangzhe Chang, Vijay Karamcheti, and Zvi Kedem Courant Institute of Mathematical Sciences New York University, New York, NY 10012 Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 1999-03-30 10:03:12 Telecommunications engineering Teletraffic Electronic engineering Computing Quality of service Scheduling Job scheduler Multiprogramming Parallel computing Scheduling algorithms Network performance Streaming
847	What is Real Time systems FRESCOR and flexible scheduling Add to Reading List Source URL: marte.unican.es Language: English - Date: 2009-03-04 14:24:22 Embedded operating systems Ada programming language Scheduling algorithms Real-time operating systems Modeling and Analysis of Real Time and Embedded systems Operating system Scheduling POSIX Ada Computing Software engineering Computer programming
848	Repeatable Perfection. Solutions for Cegid Business Retail Add to Reading List Source URL: smasolutions.it Language: English - Date: 2014-08-26 18:17:50 Job scheduling OpCon IBM InfoSphere DataStage IBM WebSphere Unisys D-subminiature Operating system Application server Computing Java enterprise platform Software
849	flux.ly File Orchestration Solutions for Banking and Finance Reading Time: 8 minutes Job Scheduling in Java Applications Add to Reading List Source URL: flux.ly Language: English - Date: 2015-03-06 11:36:49 Software Job scheduler Scheduling Flux Cron Batch processing Open Source Job Scheduler IBM Tivoli Workload Scheduler System software Job scheduling Computing
850	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

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