Methodology to Determine Relationships between Performance Factors in Hadoop Cloud Computing Applications

Luis Eduardo Bautista Villalpando, Alain April, Alain Abran

2014

Abstract

Cloud Computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources. Cloud Computing users prefer not to own physical infrastructure, but instead rent Cloud infrastructure, a Cloud platform or software, from a third-party provider. Sometimes, anomalies and defects affect a part of the Cloud platform, resulting in degradation of the Cloud performance. One of the challenges in identifying the source of such degradation is how to determine the type of relationship that exists between the various performance metrics which affect the quality of the Cloud and more specifically Cloud applications. This work uses the Taguchi method for the design of experiments to propose a methodology for identifying the relationships between the various configuration parameters that affect the quality of Cloud Computing performance in Hadoop environments. This paper is based on a proposed performance measurement framework for Cloud Computing systems, which integrates software quality concepts from ISO 25010 and other international standards.

Paper Citation

in Harvard Style

Villalpando L., April A. and Abran A. (2014). Methodology to Determine Relationships between Performance Factors in Hadoop Cloud Computing Applications . In Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-019-2, pages 375-386. DOI: 10.5220/0004725403750386

in Bibtex Style

@conference{closer14,
author={Luis Eduardo Bautista Villalpando and Alain April and Alain Abran},
title={Methodology to Determine Relationships between Performance Factors in Hadoop Cloud Computing Applications},
booktitle={Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2014},
pages={375-386},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004725403750386},
isbn={978-989-758-019-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Methodology to Determine Relationships between Performance Factors in Hadoop Cloud Computing Applications
SN - 978-989-758-019-2
AU - Villalpando L.
AU - April A.
AU - Abran A.
PY - 2014
SP - 375
EP - 386
DO - 10.5220/0004725403750386