QoS Aware Resource Provisioning in Federated Cloud and Analyzing Maximum Resource Utilization in Agent Based Model
Pradeep Kumar V1, Kolla Bhanu Prakash2
1Pradeep Kumar V, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (A.P), India.
2Kolla Bhanu Prakash, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (A.P), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 2689-2697 | Volume-8 Issue-8, June 2019 | Retrieval Number: H7538068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Federated cloud computing is one form of cloud computing model which supports huge applications needs of Big Data services by managing with collaboration from a different set of cloud service providers. It breaks the application boundary of consumers’ access to the large no of resources within specified QoS (Quality of Service) parameters leading to less SLA (Service Level Agreement) Violations. This study is specific to QoS aware resource provisioning in federated clouds to ensure resource provisioning done by cloud broker to provide uninterrupted cloud services and minimize loss of availability of resources, decrease failure rates and meet the application requirements of multiple cloud consumers in managing their resource utilization. Finally, we highlight the open challenges for future research towards the QoS aware resource provisioning in federated clouds and analyze the maximum resource utilization in agent-based model.
Keyword: Quality of Service, Resource Provisioning, Cloud Computing, Federated Clouds, Service Level Agreement.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques.