NDLI: The organic grid: self-organizing computation on a peer-to-peer network

Content Provider	IEEE Xplore Digital Library
Author	Chakravarti, A.J. Baumgartner, G. Lauria, M.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA (Chakravarti, A.J.; Baumgartner, G.; Lauria, M.)
Abstract	Desktop grids have recently been used to perform some of the largest computations in the world and have the potential to grow by several more orders of magnitude. However, current approaches to utilizing desktop resources require either centralized servers or extensive knowledge of the underlying system, limiting their scalability. 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. In a radical departure from current models, we envision large-scale desktop grids in which agents autonomously organize themselves so as to maximize resource utilization. By encapsulating computation and behavior into agents, the organization of the computation can be customized for different classes of applications. At the same time, the design of the underlying infrastructure is greatly simplified, resulting in a system that naturally lends itself to a true peer-to-peer implementation where each node can be at the same time provider and user of the computing utility infrastructure. We demonstrate this concept with a reduced-scale proof-of-concept implementation that executes a data-intensive independent-task application on a set of heterogeneous, geographically distributed machines. We present a detailed exploration of the design space of our system and a performance evaluation of our implementation using metrics appropriate for assessing self-organizing desktop grids.
Starting Page	96
Ending Page	103
File Size	1416616
Page Count	8
File Format	PDF
ISBN	0769521142
DOI	10.1109/ICAC.2004.1301352
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Peer to peer computing Computer networks Grid computing Biology computing Network servers Scalability Processor scheduling Mobile agents Biological system modeling Large-scale systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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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