Browsing by Author "Onsiri Silasai"

Now showing 1 - 2 of 2
  • Default Image
    Item
    QoS based service selection in cloud environment: A review
    (International Center for Scientific Research and Studies, 2015) Wachana Khowfa; Onsiri Silasai; Chatchada Kaewpruksapimon
    Cloud is generally used as an alternative options that provide an on - demand services to customer and to extends their requirement with the several services published in cloud as well as without the concern of cost and security management, especially, in the era of big data. However, the growing number of available services causes an increasing in the number of similar services, furthermore, the only single service resource cannot complete the requirement from user. Therefore, it is an important to issue the composition service. To composite services together, the need of method to evaluate and select the best service candidate from the service's pool called service selection is vital. In the process of extraction the appropriate candidate, the Analytic Hierarchy Process (AHP), one of the most popular techniques of the Multi - Criteria Decision Making (MCDM) is mostly used to evaluate in multiple criteria situation. The Quality of Service (QoS) which is a numeric value available in each service is applied with AHP to resolve the problem of non-functional service selection. A result of this review indicates that the QoS based service selection with AHP can efficiency support the service evaluation and selection process. Moreover, it can be focus on applying other algorithms to enhance the performance of service selecting in cloud for a future work.
  • Default Image
    Item
    The integration of association rules and AHP in cloud service selection
    (Research India Publications, 2017) Wachana Khowfa; Onsiri Silasai
    As the available of cloud services this day provide users and organizations easily access and make used of their own resource anywhere anytime. Various services provided by cloud service provider benefit to users in many areas. However, there still has a question of how to select the right cloud services which suitable for organizations and companies. The more increasing number of services available on cloud, the more complex and difficult to customer in order to select the suitable solution for their organization or even to match their business�s needs. Association Rules is well-known technique in data mining used to find out the relation of items among large database. While Analytic Hierarchy Process (AHP) is one of technique of Multi Criteria Decision Making (MCDM) to weight and compare set of elements then finally select the best choice. In this paper, we conducted the Cloud Service Selection using Association Rules and AHP to evaluate the appropriate service based on QoS attributes. The result stated that this method can be efficiency used to evaluate and select the appropriate cloud service and can be employed to solve the problem of cloud service selection. As future work, we plan to apply AHP with other techniques to improve the performance of selecting service on cloud computing. � Research India Publications.