The Combination of services in Cloud computing to improve the quality of Service using the Bumblebee algorithm

Cloud computing is one of the emerging fields of computer science in recent years. The advantage of cloud computing is that software services are always available on the Internet for all users. One of the challenging and knowledge-based cores of software engineering services is the combination of service with knowledge of service quality. The goal is to find an optimal set of services based on service quality criteria, which combine services and meet the specific purpose of combining these services. In recent years, the interest in the composition of the Web service has increased with regard to its importance in scientific applications. When no service alone is capable of satisfying the needs of a service requester, the service combination can be useful in order to achieve the objective of the service requester. Therefore, the issue of how to effectively and efficiently combine Web services has attracted many research areas. In this dissertation, a new algorithm using the colony of honeybees is presented for the problem of service combining with the knowledge of the quality of service in cloud computing. Because of the quality parameters of a web service can be changed in a dynamic web environment, in other words, unpredictable. With this, the energy consumed as well as the delay will be minimal, and the extraction of the file from the server for each packet will be minimal. The results of the experiments show that the proposed algorithm has good stability and convergence, as well as less run time.

The Combination of services in Cloud computing to improve the quality of Service using the Bumblebee algorithm Keywords:

Bumblebee algorithm , Service combination with quality service knowledge , Cloud computing