Performance Tuning in Cloud Environments: Techniques for Enhancing Application Efficiency

Abhishek Kartik Nandyala; Yuvaraj Madheswaran; Mrinal Kumar

Abstract

This research aims at examining the strategies of performance tuning in cloud computing with emphasis on the optimization of applications, minimized response time, and optimal, affordable resource utilization. The research therefore includes a systematic literature review together with quantitative findings through empirical testing of the proposed model on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), in addition to qualitative insights of experts. Auto-scaling, load balancing caching, database optimizing, integration with edge computing and predictive workloads using Artificial Intelligence are the aspects that are also studied as key performance tuning latter. Soon, the investigation, which was made based on the results from applying the four techniques on different applications and two clouds, demonstrates the strength of each technique in achieving different goals. While auto-scale and load balance feature is very helpful in control of workload fluctuations, the caching and database optimization helps in the efficient retrieval of the data. Edge computing reduces latency in response to real-time applications, and the application of artificial intelligence in workload forecast smoothes resource utilization in environments with a rapidly changing workload. Accordingly, the research has shown need for careful choosing of suitable performance-oriented interventions to enhance the application’s interactions, decrease CPU utilization, and cut costs in a cloud environment. Lastly, this work offers practical knowledge about the methods of cloud performance tuning to support better application deployment in the cloud environments.

Keywords

Performance Tuning, Cloud Environments, Application Efficiency, Resource Optimization, Latency Reduction, Cost-Effectiveness

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Cites this article as

A. K. Nandyala, Y. Madheswaran, M. Kumar, "Performance Tuning in Cloud Environments: Techniques for Enhancing Application Efficiency", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-12, no.6, pp.44-51, 2024. Available from: https://doi.org/10.55524/ijircst.2024.12.6.7

Corresponding Author

Mrinal Kumar

School of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar, School of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, H, School of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar, Hisar, India

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