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Computer Science
Distributed Systems

Performance Analysis of Cloud Computing | IJSRDV6I90125

Profile image of IJSRD - International Journal for Scientific Research and DevelopmentIJSRD - International Journal for Scientific Research and Development

2018, IJSRD - International Journal for Scientific Research and Development

Abstract

— Cloud computing is a method or technique for enabling convenient, on demand network access to a shared pool of computing resources (such as computer networks, servers, applications, storage, and services) that can be continuously provisioned and released with minimum management efforts. In this paper we have used some of the existing performance monitoring tools and techniques popular among variety of users. During this study a number of factors such as response time, bandwidth and latency etc. have been determined. Considering the frequency of factors appearing from the review work it has been inferred that the cloud response time is very crucial for the cloud performance and selected for further study.

Figures (2)
Table 1: Data Center Locations of Prominent Cloud Provider Exposito et al. (2013) evaluated performance o two Amazon EC2 Cluster Compute instances the quadruple extra-large and eight-extra-large instances. They found that the scalability of HPC applications on public Cloud infrastructures relies heavily on the performance of communications, which depends on both the network fabric and its efficient support in the virtualization layer. Cloud services may achieve quite different levels of performance under various workloads generated by diverse applications.
Table 1: Data Center Locations of Prominent Cloud Provider Exposito et al. (2013) evaluated performance o two Amazon EC2 Cluster Compute instances the quadruple extra-large and eight-extra-large instances. They found that the scalability of HPC applications on public Cloud infrastructures relies heavily on the performance of communications, which depends on both the network fabric and its efficient support in the virtualization layer. Cloud services may achieve quite different levels of performance under various workloads generated by diverse applications.
Monitoring the cloud performance is important for both the cloud user and the cloud provider in real time and analyzing the historical performance of the cloud. A large number of applications running in public cloud require huge and powerful resources. Applications known as “big data” consist of workload such as digital media collection, virtual worlds, To monitor the performance in the cloud computing, a number of automated performance monitoring (APM) tools from various vendors are available which provide the monitoring in real time as well as on historical data. Majority of them enable the user to monitor the details of their cloud using wide variety of devices such as smart phones to laptop devices. Some of these tools have been defined as in table.
Monitoring the cloud performance is important for both the cloud user and the cloud provider in real time and analyzing the historical performance of the cloud. A large number of applications running in public cloud require huge and powerful resources. Applications known as “big data” consist of workload such as digital media collection, virtual worlds, To monitor the performance in the cloud computing, a number of automated performance monitoring (APM) tools from various vendors are available which provide the monitoring in real time as well as on historical data. Majority of them enable the user to monitor the details of their cloud using wide variety of devices such as smart phones to laptop devices. Some of these tools have been defined as in table.

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