An effective knowledge search algorithm in grid environment based-experience

How to search quickly and efficiently is very important for evaluating performance of the grid. The paper analyzes the existing knowledge search theories, points out their insufficiency and brings forward a new classifying search method based-experiences & field. Under the assumption of similar interests in the same virtual organization (VO), the proposed approach classifies VOs by specialty field and takes full advantage of search history in organization to improve shoots straight and then reduces searching blindness.