IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Domain-Specific Language for Describing Grid Applications

Domain-Specific Language for Describing Grid Applications
View Sample PDF
Author(s): Enis Afgan (University of Alabama at Birmingham, USA), Purushotham Bangalore (University of Alabama at Birmingham, USA)and Jeff Gray (University of Alabama at Birmingham, USA)
Copyright: 2009
Pages: 38
Source title: Software Applications: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Pierre F. Tiako (Langston University, USA)
DOI: 10.4018/978-1-60566-060-8.ch024

Purchase

View Domain-Specific Language for Describing Grid Applications on the publisher's website for pricing and purchasing information.

Abstract

Grid computing environments are dynamic and heterogeneous in nature. In order to realize application- specific Quality of Service agreements within a grid, specifications at the level of an application are required. This chapter introduces an XML-based schema language (called the Application Specification Language, ASL) and a corresponding modeling tool that can be used to describe applications in grid computing environments. Such application descriptions allow derivation of guided and autonomic service developments for installation and invocation routines throughout the grid. In order to promote the language and ease the application description process, a domain-specific tool is also introduced. Based on our experience, the ASL in combination with higher level models improves, simplifies and promotes the grid application deployment process while simultaneously minimizing tedious and error-prone tasks such as manual application description composition.

Related Content

Babita Srivastava. © 2024. 21 pages.
Sakuntala Rao, Shalini Chandra, Dhrupad Mathur. © 2024. 27 pages.
Satya Sekhar Venkata Gudimetla, Naveen Tirumalaraju. © 2024. 24 pages.
Neeta Baporikar. © 2024. 23 pages.
Shankar Subramanian Subramanian, Amritha Subhayan Krishnan, Arumugam Seetharaman. © 2024. 35 pages.
Charu Banga, Farhan Ujager. © 2024. 24 pages.
Munir Ahmad. © 2024. 27 pages.
Body Bottom