ONTOLOGY BASED CONTEXT-AWARE MODEL FOR INTELLIGENT SCHEDULING IN FEDERATED CLOUD

Abstract

Cloud computing helps in serving the client request in a large manner. It serves n number of client
requests. Services provided by the cloud would be servers, networks, storage and other
applications. These services are proved by a cloud service provider which in turn given to a broker in
a federated architecture. For fasten the execution and manage the workloads, it is very necessary to
predict the workloads. Also, predicted workloads can be smoothly optimized for better usage without
waving off the SLA that are agreed between the provider and clients. Thus, in the present paper, a
context-aware model is provided which contains different system properties involved for effectively
managing the workload in the federated clouds. This also can be used for the researchers for research
purposes in the cloud domain