A market mechanism for participatory global query: A first step of enterprise resources self-allocation |
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Authors: | Cheng Hsu Christopher D Carothers David M Levermore |
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Affiliation: | (1) Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, Troy, New York, 12180-3590;(2) Computer Science, Rensselaer Polytechnic Institute, Troy, New York, 12180-3590 |
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Abstract: | The problem of Database Query has always been considered from the user’s side. That is, the databases are always treated merely
as the object of search, rather than being a subject or willing participants of an information exchange. This paradigm works
when all participating databases belong to a single authority (such as a company) under which their participation is definitive
and their contents completely open for the querying. Traditional single databases, federated databases, and even the new XML-based
Internet databases subscribe to this user-oriented paradigm. However, emerging information enterprises are increasingly collaborative in nature, since they tend to involve, on a real-time and on-demand basis, a large number of databases belonging to many
different organizations whose participation is conditional and case-by-case; e.g., drilling through supply chains. These collaborative
queries deserve a new paradigm that equally account for the provider side. Research has shown that market-style self-allocation
of users to providers is a promising approach to support such a paradigm. However, previous results of artificial markets
are insufficient for global database query. Therefore, we develop an artificial market model to provide a Two-Stage Collaboration solution, where the first stage establishes optimal participation of databases for a search task, and the second executes
the task in a traditional database query manner. The proposed model employs a new agent-based, peer-to-peer publish and subscribe
approach to self-allocating database resources in an information enterprise. This approach promises to lead eventually to
allocating other classes of information resources, as well. New results include (1) an agent model using a Metadatabase and
an Agent-Base to create and manage large number of custom agents, (2) a peer-to-peer negotiation method, and (3) an open common
schema design. The paper also provides an implementation scheme for developing the artificial market. Laboratory tests show
that such a mechanism is feasible for large scale matching and negotiation as required by the first stage. The second stage
employs mainly previous results established in the field. |
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Keywords: | Market-style scheduling Participatory database query Agent-base Peer-to-peer market Common schema Publish-and-subscribe model Metadatabase |
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