Integration of Qos Aspects in the Cloud Service Research and Selection System

Abstract

Cloud Computing is a business model revolution more than a technologicalone. It capitalized on various technologies that have proved themselvesand reshaped the use of computers by replacing their local use by acentralized one where shared resources are stored and managed by athird-party in a way transparent to end-users. With this new use camenew needs and one of them is the need to search through Cloud servicesand select the ones that meet certain requirements. To address thisneed, we have developed, in a previous work, the Cloud Service Researchand Selection System (CSRSS) which aims to allow Cloud users to searchthrough Cloud services in the database and find the ones that matchtheir requirements. It is based on the Skyline and ELECTRE IS. In thispaper, we improve the system by introducing 7 new dimensions related toQoS constraints. Our work's main contribution is conceiving an Agentthat uses both the Skyline and an outranking method, calledELECTREIsSkyline, to determine which Cloud services meet better theusers' requirements while respecting QoS properties. We programmed andtested this method for a total of 10 dimensions and for 50 000 cloudservices. The first results are very promising and show theeffectiveness of our approach.