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Autonomic Resource Allocation Frameworks for Service-based Cloud Applications: A Survey

Publication Type : Conference Paper

Publisher : 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), IEEE

Source : 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), IEEE, Greater Noida, India (2019)

Url : https://ieeexplore.ieee.org/abstract/document/8974463

Campus : Bengaluru

School : Department of Computer Science and Engineering, School of Engineering

Department : Computer Science

Year : 2019

Abstract : Cloud is a collection of heterogeneous-computing resources that are presented to the users on the payment basis. Cloud and the associated resources are dynamic in nature. The provisioning of resources in such dynamic environment is one of the critical issues in the cloud. Various Quality of Service (QoS) parameters contribute to the provisioning of appropriate resources in the cloud. A right proportion of resource provisioning is necessary to improve the performance of the system. To mention, energy wastage and cost increase due to over-provisioning, while, under-provisioning may seem to effect Service Level Agreements (SLA) and Service Quality (QoS). Hence, the virtual resources should be allocated accordingly to fulfil the current dynamic demand of various applications. This paper presents a deeper survey on the various resource allocation frameworks for service-based cloud applications.

Cite this Research Publication : R. Panwar and Dr. Supriya M., “Autonomic Resource Allocation Frameworks for Service-based Cloud Applications: A Survey”, in 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India, 2019.

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