A Cloud Resource Scheduling Framework for big data stream and analytics in Cloud Environment

Abstract

The volume of data entering into the cloud is rapidly increasing; therefore, on-demand cloud services should be provided to clients at any time, whereas providers must be able to preserve system availability as well as process a large volume of data. It is obligatory for cloud service providers to lessen large volumes of data; thereby they can reduce costs for maintaining large storage systems. Infrastructure level performance is an important problem which directly affects the overall working of cloud computing environment. The objective of our framework is enhancing the performance of cloud infrastructure. Our approach demonstrates high effective in cloud performance enhancement, as it displays enhancement in both the service providers as well as for cloud users.