Web Service Composition in multi-cloud environment: A bi-objective genetic optimization algorithm

By advent of multi cloud computing, abundant web services are published by several providers to their world-wide users. Web service composition technology attracted a lot of attention for the sake of reduction in software development cost. In multi cloud environment (MCE), each atomic web service published by any cloud provider with same functionality has different price and quality of service (QoS). Each cybersecurity attack on security tenets can make business financial loss or even failure. Literature review in this ambit indicates that the current techniques seldom solve a mission-critical business process since majority of them pay attention only on QoS and network parameters and do not take security tenets into consideration. A bi-objective genetic optimization algorithm is presented in which it solves web service composition problem in MCE by cost and risk viewpoints. The result of implementations show that the proposed bi-objective genetic algorithm is sustainable against a single objective algorithm which minimizes only service costs and disregards security risks.