A QoS aware services mashup model for cloud computing applications

Purpose: With the popularity of cloud computing, cloud services have become to be application programming platform where users can create new applications mashup(composing) the functionality offered by others. By composing of distributed, cloud services dynamically to provide more complex tasks, services mashup provides an attractive way for building large-scale Internet applications. One of the challenging issues of cloud services mashup is how to find service paths to route the service instances provider through while meeting the applications’ resource requirements so that the QoS constraints are satisfied. However, QoS aware service routing problem is typically NP-hard. The purpose of this paper The purpose of this paper The purpose of this paper The purpose of this paper The purpose of this paper The purpose of this paper The purpose of this paper The purpose of this paper The purpose of this paper The purpose of this paper The purpose of this paper The purpose of this paper The purpose of this paper The purpose of this paper The purpose of this paper is to is to is to propose a QoS Aware Services Mashup(QASM) model to solve this problem more effectively. Design/methodology/approach Design/methodology/approachDesign/methodology/approach Design/methodology/approach Design/methodology/approach Design/methodology/approachDesign/methodology/approachDesign/methodology/approach Design/methodology/approach Design/methodology/approach : In this paper, we focus on the QoS aware services selection problem in cloud services mashup, for example, given the user service composition requirements and their QoS constraint descriptions, how to select the required service instances and route the data flows through these instances so that the QoS requirements are satisfied. We design a heuristic algorithm to find service paths to route the data flows through while meeting the applications’ resource requirements and specific QoS constraints. Findings: This study propose a QoS Aware Services Mashup(QASM) model to solve this problem more effectively. Simulations show that QASM can achieve desired QoS assurances as well as load balancing in cloud services environment. Research limitations/implications: The number of mashup platforms and research works in the survey is limited. Furthermore, mashup platforms are continuously updated, thus some information might be outdated. Practical implications: It was found that each different cloud service should have distinct business model. The QASM model is a tool for translating cloud computing technology into customer value. Social implications: The purpose of this study was to explore QoS aspect of cloud computing business model from services provider viewpoint. The cost structure should be continued as economics as clouds are the key driving factor for both services providers and customers. Originality/value: This paper present a QASM model for providing high performance distributed applications in the cloud computing systems