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Performance Engineering in Cloud

by Muhammed Suhail T. S.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 46
Year of Publication: 2018
Authors: Muhammed Suhail T. S.
10.5120/ijca2018917238

Muhammed Suhail T. S. . Performance Engineering in Cloud. International Journal of Computer Applications. 180, 46 ( Jun 2018), 35-40. DOI=10.5120/ijca2018917238

@article{ 10.5120/ijca2018917238,
author = { Muhammed Suhail T. S. },
title = { Performance Engineering in Cloud },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2018 },
volume = { 180 },
number = { 46 },
month = { Jun },
year = { 2018 },
issn = { 0975-8887 },
pages = { 35-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number46/29549-2018917238/ },
doi = { 10.5120/ijca2018917238 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:03:47.677889+05:30
%A Muhammed Suhail T. S.
%T Performance Engineering in Cloud
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 46
%P 35-40
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

For any user centric application, performance is a critical factor. This paper deals with mobile/web application where backend is configured in either cloud / classic servers and how every component interacts and affects the overall system performance. Every component designed in the architecture of a system has its own importance. However, excessive use of any resource will have impact on the complete system. Performance Engineering is the study of these critical aspects and helps in fine-tuning the application under test. This paper will give a deeper insight on the infra level components as well as real time problems which are encountered in real life scenarios.

References
  1. Murray Woodside, Greg Franks, Dorina C. Petriu The Future of Software Performance Engineering, Carleton University, Ottawa, Canada.{cmw | greg | petriu}@sce.carleton.ca.
  2. Robert S. Hanmer John P. Letourneau, A best practice for performance engineering.
  3. Erwin Laure, Heinz Stockinger and Kurt Stockinger, Performance Engineering in Data Grids, CERN, European Organization for Nuclear Research, Geneva, Switzerland.
  4. Cloud Based Performance Testing, FungayiDonewell Mukoko, , Abhaya2, Kaushal Kumar 3, Ankush Jain4 .
  5. A Brief Survey on Web Application Performance Testing Tools Literature Review Isha Arora M.Tech Scholar, Department of Computer Science and Engineering , PIET, PANIPAT, INDIA Vikram Bali Department of Computer Science and Engineering, PIET, PANIPAT, INDIA.
  6. Performance Test Workload Modeling by agileload.com
  7. Performance Testing: A Comparative Study and Analysis of Web Service Testing Tools, Shikha Dhiman Pratibha Sharma Research Scholar Asstt Professor Department of Computer Science Department of Computer Science Career Point University Hamirpur, India Career Point University Hamirpur, India.
  8. Wikipedia, the free encyclopedia, https://en.wikipedia.org/
  9. https://www.clook.net/
  10. https://d1.awsstatic.com/whitepapers/aws-overview.pdf
  11. https://aws.amazon.com/lambda/?p=tile https://en.wikipedia.org/wiki/Software_as_a_service
  12. https://en.wikipedia.org/wiki/Amazon_Web_Services
Index Terms

Computer Science
Information Sciences

Keywords

AUT – Application Under test API – Application Programming Interface DB – Database SOA – Service Oriented Architecture AWS – Amazon Web Services DBMS – Data Base Management System ODBMS – Object Database Management System IaaS – Infrastructure as a Service PaaS – Platform as a Service SaaS – Software as a Service CDN – Content Delivery Network

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