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Resource Discovery in the Arigatoni Model.

Raphael Chand 1 Luigi Liquori 2, 1 Michel Cosnard 1
1 MASCOTTE - Algorithms, simulation, combinatorics and optimization for telecommunications
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - COMRED - COMmunications, Réseaux, systèmes Embarqués et Distribués
Abstract : Arigatoni is a lightweight communication model for dynamic Resource Discovery. Inspired by the Publish/Subscribe paradigm, the Arigatoni model implements a Resource-Discovery Oriented Overlay Network. Entities in Arigatoni are organized in Colonies. A Colony is a simple virtual organization composed by exactly one leader, offering some broker-like services, and some set of Individuals. Individuals are SubColonies of Individuals, or basic units called Global Computers. Global Computers communicate by first registering to the Colony and then by mutually asking and offering services. The leader, called Global Broker, has the job to analyze service requests/responses coming from its own Colony or arriving from a surrounding Colony, and to route requests/responses to other Individuals. After this discovery phase, Individuals get in touch with each others without any further intervention from the system, typically in a P2P fashion. Communications over the behavioral units of the model are performed by a simple Global Internet Protocol on top of the TCP or UDP protocol. Arigatoni provides fully decentralized, asynchronous and scalable Resource Discovery, that can be used for various purposes from P2P applications to more sophisticated Grid applications. The main focus of this paper is to present the Resource Discovery mechanism used in the Arigatoni model, along with some simulations that show that Resource Discovery in Arigatoni is efficient and scalable.
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Submitted on : Tuesday, June 6, 2006 - 6:15:23 PM
Last modification on : Friday, February 4, 2022 - 3:21:36 AM
Long-term archiving on: : Tuesday, September 18, 2012 - 11:46:37 AM


  • HAL Id : inria-00071016, version 2



Raphael Chand, Luigi Liquori, Michel Cosnard. Resource Discovery in the Arigatoni Model.. [Research Report] RR-5924, INRIA Sophia Antipolis - Méditerranée; INRIA. 2006. ⟨inria-00071016v2⟩



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