The advent of cloud computing technology has enabled users to invoke various web services in a "pay-as-you-go" manner. However, due to the flexible pricing model of web services in cloud environment, a cloud user' service invocation cost may be influenced by many factors (e.g., service invocation time), which brings a great challenge for cloud users' cost-effective web service invocation. In view of this challenge, in this paper, we first investigate the multiple factors that influence the invocation cost of a cloud service, for example, user's job size, service invocation time, and service quality level; and afterwards, a novel Cloud Service Cost Optimization Method named CS-COM is put forward, by considering the above multiple impact factors. Finally, a set of experiments are designed, deployed, and tested to validate the feasibility of our proposal in terms of cost optimization. The experiment results show that our proposed CS-COM method outperforms other related methods.
Recently, CS-COM was put forward in REF with considering multiple factors, which significantly optimized the service invocation cost.
An Invocation Cost Optimization Method for Web Services in Cloud Environment
Scientific Programming
Scientific Programming
Computer Science