NDLI: Application-specific scheduling for the organic grid

Content Provider	IEEE Xplore Digital Library
Author	Chakravarti, A.J. Baumgartner, G. Lauria, M.
Copyright Year	2004
Description	Author affiliation: MathWorks Inc., Natick, MA, USA (Chakravarti, A.J.)
Abstract	We propose a biologically inspired and fully-decentralized approach to the organization of computation that is based on the autonomous scheduling of strongly mobile agents on a peer-to-peer network. Our approach achieves the following design objectives: near-zero knowledge of network topology, zero knowledge of system status, autonomous scheduling, distributed computation, lack of specialized nodes. Every node is equally responsible for scheduling and computation, both of which are performed with practically no information about the system. We believe that this model is ideally suited for large-scale unstructured grids such as desktop grids. This model avoids the extensive system knowledge requirements of traditional grid scheduling approaches. Contrary to the popular master/worker organization of current desktop grids, our approach does not rely on specialized super-servers or on application-specific clients. By encapsulating computation and scheduling behavior into mobile agents, we decouple both application code and scheduling functionality from the underlying infrastructure. The resulting system is one where every node can start a large grid job, and where the computation naturally organizes itself around available resources. Through the careful design of agent behavior, the resulting global organization of the computation can be customized for different classes of applications. In a previous paper, we described a proof-of-concept prototype for an independent task application. In this paper, we generalize the scheduling framework and demonstrate that our approach is applicable to a computation with a highly synchronous communication pattern, namely Cannon's matrix multiplication.
Starting Page	146
Ending Page	155
File Size	214131
Page Count	10
File Format	PDF
ISBN	0769522564
ISSN	15505510
DOI	10.1109/GRID.2004.11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Processor scheduling Peer to peer computing Biology computing Computer networks Mobile agents Biological information theory Network topology Distributed computing Large-scale systems Grid computing
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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