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Grid computing shares geographically distributed computer resources, which are owned by different owners, over the Internet. Sharing the resources dynamically in this environment becomes challenging. Multi-agents could be used to meet this challenge due to their distributed nature and autonomous behavior. This paper investigates suitable economic models for(More)
As technology advances and the popularity and dependence on internet increases by the day, new ways of finding faster and cheaper solutions to computational problems are sought. This has lead to the development of a new concept known as grid computing, which is a type of distributed computing, heterogeneous in nature because it makes an aggregated use of(More)
Computerization has affected all aspects of science. The flexibility of programming languages, ease of writing platform independent languages and the cost effectiveness of computerized simulation as compared to actual lab work has made use of computer in biotechnology a mandatory tool. The aspect of programming language utilized in this project is searching(More)
Summary form only given. In this paper we report the design and development of a scalable and flexible integrated disaster response information surveillance (IDRIS) system consisting of two complimentary models: the architectural model and the computational model. Using front end Tablet PCs equipped with wireless technology IDRIS is a real-time data(More)
Economic models are found efficient in managing heterogeneous computer resources such as storage, CPU and memory for grid computing. Commodity market, double auction and contract-net-protocol economic models have been widely discussed in the literature. These models are suitable for sharing distributed computer resources that belong to different owners.(More)
Economic-based approaches have been found to be effective for distributed resource management in Grid computing. However, deciding which model to use is challenging, because (1) the performance stability of a particular model in a dynamic and distributed environment, is hard to establish (2) the performance objective of the Grid network may be complex, and(More)
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