Multi-Tenant Cloud Service Composition using Evolutionary Optimization

Abstract

In Software as a Service (SaaS) cloud marketplace, several functionally equivalent services tend to be available with different Quality of Service (QoS) values. For processing endusers multi-dimensional QoS and functional requirements, the application engineers are required to choose suitable services and optimize the service composition plans for each category of users. However, existing approaches for dynamic services composition tend to support execution plans that search for service provisions of equivalent functionalities with varying QoS or cost constraints to meet the tenants’ QoS requirements or to dynamically respond to changes in QoS. These approaches tend to ignore the fact that m..