LAG: Achieving transparent access to legacy data by leveraging grid environment

Deng, Yuhui and Wang, Frank (2011) LAG: Achieving transparent access to legacy data by leveraging grid environment. Future Generation Computer Systems, Volume . pp. 182-196. (The full text of this publication is not available from this repository)

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Official URL
http://www.cs.kent.ac.uk/pubs/2011/3077

Abstract

The world today is experiencing an explosive growth of data generated by information digitization. Due to the unprecedented advance in software and hardware, large amounts of data gradually becomes legacy data and inaccessible. This is building a digital black hole, and it is becoming a big challenge to access, process, and preserve the legacy data. Grid provides flexible, secure, and coordinated resource sharing among dynamic collections of individuals, institutions, and resources. It allows users and applications to access the aggregated resources in a transparent manner. This paper proposes a Legacy Application Grid (LAG) architecture. This architecture deploys diverse legacy applications in a grid environment and provides a transparent access to the remote LAG users who want to access the legacy data. In contrast to the existing methods which attempt to tackle legacy data and legacy applications, we wrap a display protocol into grid services. The service provider, who wants to deploy any legacy applications, just needs to deploy the protocol based grid service, describe and pass the parameters of those legacy applications to the service. Compared with the traditional approaches, the method proposed in this paper is very costeffective because it avoids converting legacy data from one format to another format or upgrading legacy applications one by one. An implemented prototype validates that the LAG architecture trades acceptable performance degradation for a transparent and remote access to legacy data.

Item Type: Article
Uncontrolled keywords: determinacy analysis, Craig interpolants
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Future Computing Group
Depositing User: Frank Wang
Date Deposited: 21 Sep 2012 09:49
Last Modified: 21 Sep 2012 09:49
Resource URI: http://kar.kent.ac.uk/id/eprint/30774 (The current URI for this page, for reference purposes)
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