Workflow management in large distributed systems

被引:1
|
作者
Legrand, I. [1 ]
Newman, H. [1 ]
Voicu, R. [1 ]
Dobre, C. [2 ]
Grigoras, C. [3 ]
机构
[1] CALTECH, Pasadena, CA 91125 USA
[2] Univ Politehn Bucuresti, Bucharest, Romania
[3] European Org Nucl Res, Geneva, Switzerland
关键词
D O I
10.1088/1742-6596/331/7/072022
中图分类号
O59 [应用物理学];
学科分类号
摘要
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 real-time. 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.
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页数:5
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