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Bi-objective web service composition problem in multi-cloud environment: a bi-objective time-varying particle swarm optimisation algorithm
Published in Journal of Experimental & Theoretical Artificial Intelligence, 2021
Mirsaeid Hosseini Shirvani
This section clarifies our proposed multi-cloud system framework which has various components. User specifies his/her requests in terms of computing resources and constraints. Each cloud’s anomalies such as virtualisation and network attacks and security breaches are registered in cloud log servers. Then, security risk relevant to each cloud can be measured by our novel proposed method. Cloud broker’s main component is a web service combiner which knows underlying clouds’ competencies in advance. Web service combiner delivers optimal service deployment in MCE in the form of non-dominated solutions because it simultaneously optimises two objective functions. Virtual infrastructure management such as OpenNebula can interface between different cloud providers. Moreover, adapters can interoperate with various virtualisation technology such as Xen, KVM, and VMware. Figure 4, depicts our proposed multi-cloud system framework.