Title :
Optimal adaptive CSP scheduling on basis of priority of specific service using cloud broker
Author :
Srivastava, Neeraj Kumar ; Singh, Pankaj ; Singh, Sarvpal
Author_Institution :
Dept. of Comput. Sci. & Eng., Madan Mohan Malaviya Univ. of Technol., Gorakhpur, India
Abstract :
That paper focus on how to select cloud service provider (CSP) for the user which provide the best service to the user. Selection of the proper CSP depends on the rating of CSP. If rating of CSP is higher than that CSP would be select for the first user and so on. Paper has focused on both rating of CSP and rating of particular attribute of CSP. In this Paper selection of CSP depends on both rating of CSP and rating of particular attribute of CSP. Now a day´s lot of cloud service provider present in the market and day by day these number are being exceed. These are following CSP example Amazon elastic computing (EC2) cloud offers virtual machine 0.1$ per hour, Google compute cloud offer virtual machine 0.5$ and so on. This is being hard for user to select the proper CSP for the service which provide the best service in low cost and effective quality. Cloud broker work on behalf of user. Users send his requirement and budget to Cloud Broker than its deal with the Cloud Service Provider and select it for user. In this paper Rough set model is being use for selecting the optimal CSP.
Keywords :
cloud computing; rough set theory; scheduling; virtual machines; Amazon EC2; Amazon elastic computing cloud; CSP attribute rating; Google; cloud broker; cloud service provider selection; optimal CSP selection; optimal adaptive CSP scheduling; rough set model; specific service priority; virtual machine; Approximation methods; Cloud computing; Computational modeling; Computers; Mathematical model; Processor scheduling; Resource management; Cloud broker; Cloud computing; Cloud service provider; Rough set model;
Conference_Titel :
Industrial and Information Systems (ICIIS), 2014 9th International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4799-6499-4
DOI :
10.1109/ICIINFS.2014.7036531