2005Unpublished venueRequires access

Heterogeneity-Aware Distributed Access Structure

Alejandra N Gonzalez-Beltran, Paul J. Milligan, Paul Sage

Open publisher page 2 citations

Abstract

Efficient access to distributed and dynamic multidimensional data is vital for applications in large, heterogeneous, decentralized, resource-sharing environments such as grids and peer-to-peer systems. Most systems providing this functionality assume homogeneous participants. This paper proposes HADAS, an access structure exploiting heterogeneity to build a self-aware adaptive information system.

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What this paper is about

Efficient access to distributed and dynamic multidimensional data is vital for applications in large, heterogeneous, decentralized, resource-sharing environments such as grids and peer-to-peer systems. Most systems providing this functionality assume homogeneous participants. This paper proposes HADAS, an access structure exploiting heterogeneity to build a self-aware adaptive information system.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Efficient access to distributed and dynamic multidimensional data is vital for applications in large, heterogeneous, decentralized, resource-sharing environments such as grids and peer-to-peer systems. Most systems providing this functionality assume homogeneous participants. This paper proposes HADAS, an access structure exploiting heterogeneity to build a self-aware adaptive information system.

Key concepts: Computer science, Distributed computing, Homogeneous, Resource (disambiguation), Shared resource, Peer-to-peer, Data access, Computer network

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