NDLI: An autonomic network-aware scheduling architecture for grid computing

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An autonomic network-aware scheduling architecture for grid computing

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An autonomic network-aware scheduling architecture for grid computing

Content Provider	ACM Digital Library
Author	Caminero, Agustín Rana, Omer Carrión, Carmen Caminero, Blanca
Abstract	Grid technologies have enabled the aggregation of geographically distributed resources, in the context of a particular application. The network remains an important requirement for any Grid application, as entities involved in a Grid system (such as users, services, and data) need to communicate with each other over a network. The performance of the network must therefore be considered when carrying out tasks such as scheduling, migration or monitoring of jobs. Surprisingly, many existing QoS efforts ignore the network and focus instead on processor workload and disk access. Making use of the network in an efficient and fault tolerance manner, in the context of such existing research, leads to a significant number of research challenges. One way to address these problems is to make Grid middleware incorporate the concept of autonomic systems. Such a change would involve the development of "self-configuring" systems that are able to make decisions autonomously, and adapt themselves as the system status changes. We propose an autonomic network-aware scheduling infrastructure that is capable of adapting its behavior to the current status of the environment.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISBN	9781595939449
DOI	10.1145/1376849.1376850
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-11-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Network qos in grid systems
Content Type	Text
Resource Type	Article

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