An Investigation for CA-Based PageRank Validation in View of Power-Law Distribution of Web Data to Enhance Trustworthiness and Safety for Green Cloud

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Author(s): Arnab Mitra (Siksha ‘O' Anusandhan (Deemed), India)
Copyright: 2021
Pages: 11
Source title: Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts
Source Author(s)/Editor(s): Vicente González-Prida (University of Seville, Spain & National University of Distance Education, Spain)and María Carmen Carnero (University of Castilla-La Mancha, Spain)
DOI: 10.4018/978-1-7998-3246-1.ch015

Keywords: Business & Management / Business and Organizational Research / Business Science Reference / Risk Management & Analysis

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Abstract

An investigation on cellular automata (CA)-based validation of PageRank with reference to the power-law distribution is presented in this chapter to enhance the trustworthiness and safety of Clouds. Web traffic data for several Clouds were analyzed in view of power-law distribution to explore whether they are natural or manmade. Results obtained for CA-based PageRank validation were compared with Alexa®, which further supported the power-law distribution with some cut-offs, which ensured effectiveness and accuracy for CA-based validation of PageRank. Hence, this exploration helps to enhance the trustworthiness for any computed PageRank, and thus, it helps for the automated decision-making process towards an enhanced trust and safety of Clouds.

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An Investigation for CA-Based PageRank Validation in View of Power-Law Distribution of Web Data to Enhance Trustworthiness and Safety for Green Cloud

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