Distributed information retrieval methods are growing rapidly because of the rising need to access and search distributed digital documents. However, the content-based information retrieval (CBIR) is concentrated to extract and retrieve the information from massive digital libraries, which require a huge amount of computing and storage resources. The grid computing provides the reliable infrastructure for effective and efficient retrieval on these large collections. In order to build an effective and efficient CBIR technique, varieties of architectures were developed based on grid technologies. The goal of such architecture is to solve interoperability and heterogeneous resource issues, and increase the efficiency and effectiveness of information retrieval (IR) techniques by harnessing the grid computing capabilities. This paper reviews and analyzes latest research carried out in the domain of large-scale dataset IR based on a grid. The evaluation is based on scalability, response time, scope, data type, search technique, middleware, and query type. The contribution is to illustrate the features, capabilities, and shortages of current solutions that can guide the researchers in this evolving area.

No abstract

No abstract

No abstract

The selection of resources that best fitting tasks in grid environments is an essential and critical factor to system performance. Current resource selection methods apply traditional mechanisms for the process of task allocation to resources, which cause performance problems. This paper proposes a resource selection algorithm in bidding based grid environment to minimize the total time for task completion in effective and efficient way. To avoid unexpected completion time arises when using non-reserved bidding process due to the competition between grid clients on resources; our algorithm proposes the single reservation mechanism to reserve the best resource for the task as a commitment and hence guarantees the task completion time will be as expected. This algorithm uses single reservation mechanism to reserve the best resource for the task. Unlike traditional reserved algorithms this algorithm reserves only the best resource and hence it allows other resources to participate in other bidding processes. We believe the proposed algorithm can select the most fitting resources for tasks execution and achieve a good performance in terms of effectiveness and efficiency.