Legrand, I. and Newman, H. and Voicu, R. and Dobre, C. and Grigoras, C. (2011) Workflow management in large distributed systems. Journal of Physics Conference Series , 331 . Art. No. 072022. ISSN 1742-6588 http://resolver.caltech.edu/CaltechAUTHORS:20120413-132252697
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The MonALISA (Monitoring Agents using a Large Integrated Services Architecture) framework provides a distributed service system capable of controlling and optimizing large-scale, data-intensive applications. An essential part of managing large-scale, distributed data-processing facilities is a monitoring system for computing facilities, storage, networks, and the very large number of applications running on these systems in near realtime. All this monitoring information gathered for all the subsystems is essential for developing the required higher-level services—the components that provide decision support and some degree of automated decisions—and for maintaining and optimizing workflow in large-scale distributed systems. These management and global optimization functions are performed by higher-level agent-based services. We present several applications of MonALISA's higher-level services including optimized dynamic routing, control, data-transfer scheduling, distributed job scheduling, dynamic allocation of storage resource to running jobs and automated management of remote services among a large set of grid facilities.
|Additional Information:||© 2011 Institute of Physics. Published under licence by IOP Publishing Ltd.|
|Classification Code:||PACS: 07.05.Tp; 07.05.Kf; 29.50.+v; 84.40.Ua; 02.60.Pn; 89.70.-a; 29.40.Gx|
|Official Citation:||Workflow management in large distributed systems I Legrand et al 2011 J. Phys.: Conf. Ser. 331 072022|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Tony Diaz|
|Deposited On:||17 Apr 2012 20:40|
|Last Modified:||26 Dec 2012 15:03|
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