Competent Asset Planning for Cloud Computing
Amareshwari Patil1, Bharati Harsoor2
1Amareshwari Patil, Assistant Professor, Department of Computer Science and Engineering, PDA College of Engineering, Gulbarga (Karnataka), India.
2Dr. Bharati Harsoor, Professor and Head, Department of Information Science, PDA College of Engineering, Gulbarga (Karnataka), India.
Manuscript received on 21 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 27 June 2019 | PP: 53-56 | Volume-8 Issue-1C May 2019 | Retrieval Number: A10110581C19/2019©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: Cloud Computing is being widely utilized in today’s world. The proposed system comes under the Iaas (Infrastructure as a service) which provides CPU and memory as a resource. As cloud computing is very popular, the users of cloud are also increasing accordingly and this has become the important issue for the cloud service providers in terms of load balancing. Each of the client requests has to be executed with proper allocation of assets. The major challenge is to understand how these requests are allocated to the user. Management of assets and allocation of assets has to be done proficiently so a s to increase the system utilization and also overall performance of the system else this becomes the serious issue for governing the cloud environment with multiple customers. In the proposed system dynamic load balancing concepts have been used which helps in fair allocation of resources to achieve high user satisfaction as well as proper asset utilization. This proposed model has a Controller and Balancers that gather and analyze the information. Status of the server is monitored and then appropriate load balancing techniques selected on the basis of system status as a achieve resource utilization.
Keywords: Cloud Partition, Assets, Balancer, Skewness, Load Balancing.
Scope of the Article: Cloud Computing