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

Semantics-Based Process Support for Grid Applications

Semantics-Based Process Support for Grid Applications
View Sample PDF
Author(s): Gayathri Nadarajan (University of Edinburgh, UK), Areti Manataki (University of Edinburgh, UK)and Yun-Heh Chen-Burger (University of Edinburgh, UK)
Copyright: 2009
Pages: 22
Source title: Grid Technology for Maximizing Collaborative Decision Management and Support: Advancing Effective Virtual Organizations
Source Author(s)/Editor(s): Nik Bessis (University of Bedfordshire, UK)
DOI: 10.4018/978-1-60566-364-7.ch004

Purchase

View Semantics-Based Process Support for Grid Applications on the publisher's website for pricing and purchasing information.

Abstract

The infrastructure of Grid is approaching maturity and can be used to enable the utilisation and sharing of large scale, remote data storages through distributed computational capabilities and support collaborations and co-operations between different organisations. Grid can therefore be suitably used to support the creation and running of a virtual organisation (VO). However, to assist the smooth operation of VOs, robust computational and storage facilities alone are not sufficient. There must also exist appropriate rich business infrastructure. In this chapter, the authors consider business process frameworks that utilise semantics-based business process modelling (BPM) technologies, and they illustrate the multidisciplinary nature of our approach by applying them to three different fields: Supply Chain Management, Business Intelligence and Knowledge Management, and Intelligent Video Analysis. They aim to show that these three application areas that incorporate semantics-based BPM methods could be used to support developing Grid applications, and to subsequently support VOs.

Related Content

Radhika Kavuri, Satya kiranmai Tadepalli. © 2024. 19 pages.
Ramu Kuchipudi, Ramesh Babu Palamakula, T. Satyanarayana Murthy. © 2024. 10 pages.
Nidhi Niraj Worah, Megharani Patil. © 2024. 21 pages.
Vishal Goar, Nagendra Singh Yadav. © 2024. 23 pages.
S. Boopathi. © 2024. 24 pages.
Sai Samin Varma Pusapati. © 2024. 25 pages.
Swapna Mudrakola, Krishna Keerthi Chennam, Shitharth Selvarajan. © 2024. 11 pages.
Body Bottom