Optimizing Cloud Resource Allocation Using Reduction Round Robin Algorithm |
Author(s): |
| Miss. Rohini S. Patil , Ashokrao Mane Group of Institution, Vathar tarf Vadgaon; Prof. P. S. Powar, Ashokrao Mane Group of Institution, Vathar tarf Vadgaon |
Keywords: |
| Cloud Balancing, Reduction Round Robin Algorithm, Resource Allocation, Load Balancing, Cloud Computing, Burst Time, Server Allocation Time, Access Tim |
Abstract |
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The dynamic nature of Virtual Machines (VMs) in cloud computing environments has profound implications for resource allocation and management. Accurate VM workload prediction is essential to ensure the efficient use of cloud resources. This research explores the Optimization of Cloud Resource Allocation using the Reduction Round Robin Algorithm, an innovative approach that merges workload prediction and task scheduling. In addition to the methodologies discussed, this article delves deeper into the context by examining the role of cloud computing in the modern IT landscape, highlighting the significance of efficient resource allocation, and further extending the discussion of results. The study also assesses the broader socio-economic impact of optimized resource allocation in cloud computing environments. |
Other Details |
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Paper ID: IJSRDV11I70043 Published in: Volume : 11, Issue : 7 Publication Date: 01/10/2023 Page(s): 55-58 |
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