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Distributed operations
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#	Item
71	DISTRIBUTED COMPUTING PROJECT, CSSE DEPT., UNIVERSITY OF MELBOURNE CloudAnalyst: A CloudSim-based Tool for Modelling and Analysis of Large Scale Cloud Computing Environments MEDC Project Report Add to Reading List Source URL: www.cloudbus.org Language: English - Date: 2009-10-11 07:52:09 Digital electronics Electronic design automation Operations research Simulation Cloud computing Logic simulation Application software Web-based simulation Computer simulation Computing Electronic engineering Simulation software
72	Adaptive Co-Allocation of Distributed Resources for Parallel Applications by Marco Aur´elio Stelmar Netto Add to Reading List Source URL: www.cloudbus.org Language: English - Date: 2010-02-16 04:42:19 Operations research Scheduling algorithms Grid computing Scheduling Cloud computing Computer cluster Meta-scheduling Computing Concurrent computing Planning
73	Availability of Multi-Object Operations Haifeng Yu Intel Research Pittsburgh / CMU Phillip B. Gibbons Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2006-11-02 03:27:37 Distributed data storage Search algorithms Computer programming Software engineering Consistent hashing Chord Hash function C Database Hashing Computing Database management systems
74	Improving the Performance of Collective Operations in MPICH Rajeev Thakur and William Gropp Mathematics and Computer Science Division Argonne National Laboratory 9700 S. Cass Avenue Add to Reading List Source URL: www.mcs.anl.gov Language: English - Date: 2003-07-01 18:28:21 Application programming interfaces Message Passing Interface Theoretical computer science MPICH Algorithm Distributed computing Computer cluster Computing Parallel computing Computer programming
75	Distributed Flow Algorithms for Scalable Similarity Visualization Novi Quadrianto∗ , Dale Schuurmans† and Alex J. Smola‡ ∗ SML-NICTA & RSISE-ANU, Canberra, Australia Email: † Univer Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2010-12-15 01:15:39 Applied mathematics Operations research Combinatorial optimization Maximum flow problem Minimum-cost flow problem Flow network Linear programming Convex optimization Matching Mathematics Network flow Graph theory
76	SOFTWARE-PRACTICE AND EXPERIENCE Softw. Pract. Exper. 2014; 44:163–174 Published online 23 November 2012 in Wiley Online Library (wileyonlinelibrary.com). DOI: spe.2163 Bandwidth-aware divisible task scheduling Add to Reading List Source URL: www.cloudbus.org Language: English - Date: 2014-01-10 02:20:19 Planning Scheduling algorithms Operations research Scheduling Parallel computing Virtual machine Hypervisor Distributed computing Cloud computing System software Computing Software
77	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Consensus-based Distributed Optimal Power Flow Algorithm Add to Reading List Source URL: www.merl.com Language: English - Date: 2015-03-10 17:36:54 Mathematics Applied mathematics Electric power Power engineering Power flow study Mathematical optimization Constraint optimization Algorithm Linear programming Electromagnetism Electrical engineering Operations research
78	Neuroscience Instrumentation and Distributed Analysis of Brain Activity Data: A Case for eScience on Global Grids Rajkumar Buyya1, Susumu Date2, Yuko Mizuno-Matsumoto3, Srikumar Venugopal1, and David Abramson4 Add to Reading List Source URL: www.cloudbus.org Language: English - Date: 2004-02-16 23:54:33 Job scheduling Operations research Planning Scheduling Grid computing Magnetoencephalography Wavelet Nimrod Globus Toolkit Concurrent computing Computing Computer architecture
79	A Case Against Periodic Jukebox Scheduling Maria Eva Lijding, Ferdy Hanssen, Pierre G. Jansen Distributed and Embedded Systems Group (DIES) Fac. of Computer Science, University of Twente P.O.Box 217, 7500AE Enschede, The Add to Reading List Source URL: www.croky.net Language: English - Date: 2003-07-28 17:16:53 Scheduling Optical jukebox Backup Computing Business Management Windows Task Scheduler Scheduling algorithms Operations research Planning
80	Resource Co-Allocation in Multi-site Computing Environments Staff: Rajkumar Buyya Students: Marco A. S. Netto Grid Computing and Distributed Systems (GRIDS) Laboratory Web: http://www.csse.unimelb.edu.au/~netto/research. Add to Reading List Source URL: www.cloudbus.org Language: English - Date: 2007-08-28 05:55:43 Grid computing Quality of service Resource Computing Concurrent computing Electronic engineering Operations research Planning Scheduling

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