With advances in communication technology and the Internet, grid computing offers a new paradigm for distributed computing. It emerged as a mechanism for allowing a collection of connected computer systems to form a large-scale data and computing network. It promotes the sharing of distributed resources that may be heterogeneous in nature, so as to enable different application domains including science, industry, engineering, finance and even government to solve large-scale computing problems. This brings many challenges to grid resource brokering such as acting fast enough to meet the needs of new application domains. This research has therefore developed a grid resource broker that insulates users from the complexities of grids. In order to do this it executes their jobs by migrating application software, jobs and data from one site (node) to another depending on policies. It also enables advance reservation and fault tolerance. The grid resource broker combines both user-centric and systemcentric to achieve certain performance goals such as the minimisation of execution time, the optimal use of resources and minimising of the number of rejected jobs and the maximisation of resource utilisation and reliability. To request resources from the grid environment and achieve a good level of resource management and brokering within a grid environment requires languages that can specify the required resources and describe how to run jobs on them. These requests are made by users submitting jobs to the resource broker, from the resource broker to the resources, and between the resources themselves.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:502521 |
| Date | January 2008 |
| Creators | Aldabbas, Omar S. |
| Publisher | De Montfort University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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