On Investigating Energy Stability for Cellular Automata Based PageRank Validation Model in Green Cloud

Abstract

PageRank plays a vital role towards the preparation of the index for web resources. The index is processed by crawling down the relevant websites. Hence, the validation of computed PageRank is crucially significant towards the reliability enhancement of processed indexed list. On the other hand, energy efficiency and the stability of a system are crucially towards the environmental sustainability. In this regard, an energy stability-based PageRank validation model in Cellular Automata is presented in this research which facilitates a very low energy consumption by its physical components. Detailed investigations in view of energy stability explore the role of energy stability towards the validation of PageRank. Hence, an alternative approach towards the validation of PageRank using energy stability is presented in this research. Analytical results obtained with proposed approach for several Clouds further explore its potential capability as a green computing model in the Cloud.