Abstract

Due to the elasticity of cloud systems, many researchers have developed ideas to fabricate applications to provide cloud based online education. As cloud systems offer on-demand services, broad network access and resource pooling, the teaching to the students has migrated from classrooms to online cloud systems. Resource provisioning means to provide resources as per the requirement of the application with keeping in mind the Quality-of-service defined in the SLA. It is a very challenging task to provide resources in a manner to achieve the QoS as defined in the SLA and also keeping in the mind that all the applications running on the cloud get the resources as per their requirements. Many researchers have proposed various techniques and algorithms for Resource Provisioning. Simple approaches for Automated Resource Provision can significantly affect the cloud performance and over resource provisioning increases the costs. This paper discussed the previously suggested techniques and then proposed a new technique for Auto-scaling of cloud resources which ensures the best attainable utilization of cloud resources. We already have implemented this architecture and also provided the results for the same.

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