Abstract
Cloud manufacturing (CMfg) is a service-oriented platform that enables engineers to use the manufacturing capacity in the form of cloud-based services that aggregated in service pools on demand. In CMfg, the integration of manufacturing resources across different areas and industries is accomplished using cloud services. In recent years, the interest in cloud manufacturing service composition has grown, due to its importance in different manufacturing applications. When no single service is capable of satisfying the need for a manufacturing service requester, the service combination may be useful in order to fulfill the purpose of the manufacturing service requester. Therefore, the problem of how efficient and effective interconnection of cloud manufactring services has come to fetch many research fields. In this paper, a new algorithm is presented using an ant colony optimization for the problem of cloud manufacturing service composition considering the quality of service.
Highlights
The „cloud manufacturing‟ term was first introduced by Li et al [1], which targets in creating an integrated and collaborative platform for distributed manufacturing systems based on cloud computing technology
A user who buys a service at a price, does not expect a response time to be less than a certain threshold
To solve the problem of choosing manufacturing cloud services with the knowledge of the quality of service, some methods with the help of semantic web and some others based on computations service quality traits have been created, but it is clear that the second approach is a more satisfactory solution to meet the global requirements of service quality, because it is a combination of optimization that combines the best composition of services
Summary
The „cloud manufacturing‟ term was first introduced by Li et al [1], which targets in creating an integrated and collaborative platform for distributed manufacturing systems based on cloud computing technology. Several services may be available with the same function (which they call semantic equivalent services) They certainly, there are different criteria for service quality. Choosing between different services, including semantic services, provides a function of the quality of service choices. To solve the problem of choosing manufacturing cloud services with the knowledge of the quality of service, some methods with the help of semantic web and some others based on computations service quality traits have been created, but it is clear that the second approach is a more satisfactory solution to meet the global requirements of service quality, because it is a combination of optimization that combines the best composition of services.
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