Scientific Programming

Scientific Programming / 2007 / Article
Special Issue

Dynamic Computational Workflows: Discovery, Optimization and Scheduling

View this Special Issue

Open Access

Volume 15 |Article ID 516174 |

A. Stephen McGough, Asif Akram, Li Guo, Marko Krznaric, Luke Dickens, David Colling, Janusz Martyniak, Roger Powell, Paul Kyberd, Chenxi Huang, Constantinos Kotsokalis, Panayiotis Tsanakas, "GRIDCC: A Real-Time Grid Workflow System with QoS", Scientific Programming, vol. 15, Article ID 516174, 22 pages, 2007.

GRIDCC: A Real-Time Grid Workflow System with QoS

Received30 Nov 2007
Accepted30 Nov 2007


The over-arching aim of Grid computing is to move computational resources from individual institutions where they can only be used for in-house work, to a more open vision of vast online ubiquitous `virtual computational' resources which support individuals and collaborative projects. A major step towards realizing this vision is the provision of instrumentation – such as telescopes, accelerators or electrical power stations – as Grid resources, and the tools to manage these resources online. The GRIDCC project attempts to satisfy these requirements by providing the following four co-dependent components; a flexible wrapper for publishing instruments as Grid resources; workflow support for the orchestration of multiple Grid resources in a timely manner; the machinery to make reservation agreements on Grid resources; and the facility to satisfy quality of service (QoS) requirements on elements within workflows. In this paper we detail the set of services developed as part of the GRIDCC project to provide the last three of these components. We provide a detailed architecture for these services along with experimental results from load testing experiments. These services are currently deployed as a test-bed at a number of institutions across Europe, and are poised to provide a 'virtual lab' to production level applications.

Copyright © 2007 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

More related articles

 PDF Download Citation Citation
 Order printed copiesOrder

Related articles

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.