Dynamic ranking of cloud services for web-based cloud communities: efficient algorithm for rating-based discovery and multi-level ranking of cloud services. (15th August 2019)

• Record Type: Journal Article
• Authors: Md, Abdul Quadir; Vijayakumar, V.
• Is Part Of: International journal of Web based communities. Volume 15:Number 3(2019)
• Page Start: 248
• Page End: 270
• Publication Date: 2019-08-15
• Subjects: cloud consumers -- cloud services -- cloud service providers -- CSPs -- cloud service registry -- CSR -- cloud service discovery -- quality of services -- QoS -- service level agreement -- SLA; Online social networks -- Periodicals; Social media -- Periodicals; World Wide Web -- Periodicals; 302.30285
• Languages: English
• ISSNs: 1477-8394

Abstract

Trust assessment in cloud depends on QoS attributes. While evaluating the trustworthiness of the CSPs, traditional methods of trust assessment do not take into account QoS attributes that keep changing dynamically. To address the issue of determining the trustworthiness of CSPs in web, rating based dynamic discovery (RBDD) of QoS attributes that keeps changing periodically and multi-layer ranking (MLR) algorithm that ranks the discovered CSPs in an efficient manner have been proposed. This approach allows us to evaluate CSPs trustworthiness from cloud auditors perception. evaluation results indicates that the RBDD is capable of sensing behavioural changes in CSPs and discovers the dynamic trustworthy service providers and MLR algorithm ranks them based on CC requirements with high accuracy and minimal time complexity compared to other approaches. The proposed system has been validated with synthetic dataset owing to absence of standardisation.