The utilization of clouds in accessing of remote resources has evolved tremendous advantages like parallel execution, virtualization and supremacy of processing. Rather to filter queried information through single remote server is many times better to process it from a centralized cloud. Present architecture of information indexing and filtering mechanism is far away from cloud computing technology, however, their storage is already following the distributed concepts. In this paper, we developed a virtual indexing and cloud based information filtering model that follows cloud computing concept in query filtering, virtual image of information indexes and searching of indexed contents. We calculated architectural complexity and indexing probability of prior searching metrics in order to build cloud based information filtering and virtualized indexing model. We used mathematical comparison and practical query based method to evaluate the indexing and filtering cost of our proposed model. We analyzed that utilizing of cloud concepts with distributed storage at the time of filtering queried information is more effective rather to prior information filtering metrics.
|Number of pages||8|
|Journal||World Applied Sciences Journal|
|Publication status||Published - 2013|