Interactive Simulation Tool for Cloud Resource Allocation Strategies and Performance Analysis

The “Interactive Simulation Tool for Cloud Resource Allocation Strategies and Performance Analysis” is to optimize the efficiency and efficacy of cloud resource management. This application provides a web-based interface that allows users to simulate different resource allocation algorithms and examine their effects on important performance indicators such as cost, response time, throughput, and resource utilization. The tool offers a thorough performance study by using complex techniques such as Least Connections, Weighted Distribution, Round Robin, Priority Scheduling, and synthetic workloads. The results underscore its capability to handle diverse cloud environments, from small-scale setups to large enterprise infrastructures, making it an invaluable asset for optimizing cloud resource utilization and achieving significant cost savings. Future work will focus on real-time data integration and expanding the range of strategies to further enhance the tool's practical utility.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/icstsdg61998.2024.11026144
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

Interactive Simulation Tool for Cloud Resource Allocation Strategies and Performance Analysis

B. Yamini, Devesh Kumar Bandla, Deeleep Sanjay Reddy Burri, Greesmanth Reddy Myla
Cloud Computing and Resource Management
article

Interactive Simulation Tool for Cloud Resource Allocation Strategies and Performance Analysis

B. Yamini, Devesh Kumar Bandla, Deeleep Sanjay Reddy Burri, Greesmanth Reddy Myla
article en

Abstract

The “Interactive Simulation Tool for Cloud Resource Allocation Strategies and Performance Analysis” is to optimize the efficiency and efficacy of cloud resource management. This application provides a web-based interface that allows users to simulate different resource allocation algorithms and examine their effects on important performance indicators such as cost, response time, throughput, and resource utilization. The tool offers a thorough performance study by using complex techniques such as Least Connections, Weighted Distribution, Round Robin, Priority Scheduling, and synthetic workloads. The results underscore its capability to handle diverse cloud environments, from small-scale setups to large enterprise infrastructures, making it an invaluable asset for optimizing cloud resource utilization and achieving significant cost savings. Future work will focus on real-time data integration and expanding the range of strategies to further enhance the tool's practical utility.

SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 51%
Cloud Computing and Resource Management
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Interactive Simulation Tool for Cloud Resource Allocation Strategies and Performance Analysis — B. Yamini, Devesh Kumar Bandla, et al. · (2024) | TGRS Research Map | TGRS