Evaluation of Performance Enhancement by Data Compression in Cloud Computing

Abstract

Because it provides elastic, on-demand access to a wide range of resources and services, cloud computing has quickly become an integral part of today's digital infrastructure. The difficulty of efficiently transmitting and storing data while maintaining high speed and security is becoming more pressing as the amount of data handled in cloud systems continues to increase at an exponential rate. Improving cloud computing performance via the use of sophisticated compression algorithms is the focus of this article. Optimization of bandwidth use, reduction of storage costs, and acceleration of data transfer speeds may be achieved by the use of compression techniques, which reduce the amount of sent and stored data. Several lossless and lossy compression algorithms are examined, and their efficacy in various cloud-based contexts is assessed. Data encryption and integrity verification are two areas where we look at how data compression affects cloud security. Our research shows that data security may be maintained while significant speed increases are achieved via the smart use of compression methods. Best practices for deploying compression in the cloud and possible future research areas are discussed in the paper's conclusion.