Performance analysis of heterogeneous data centers in cloud computing using a complex queuing model
type: Item
instance of: scholarly article
title: Performance analysis of heterogeneous data centers in cloud computing using a complex queuing model
zbMATH Open document ID: 1394.90189
DOI: 10.1155/2015/980945
author: Wei-Hua Bai
author: Jianqing Xi
author: Jia-Xian Zhu
author: Shao-Wei Huang
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: Performance evaluation of modern cloud data centers has attracted considerable research attention among both cloud providers and cloud customers. In this paper, we investigate the heterogeneity of modern data centers and the service process used in these heterogeneous data centers. Using queuing theory, we construct a complex queuing model composed of two concatenated queuing systems and present this as an analytical model for evaluating the performance of heterogeneous data centers. Based on this complex queuing model, we analyze the mean response time, the mean waiting time, and other important performance indicators. We also conduct simulation experiments to confirm the validity of the complex queuing model. We further conduct numerical experiments to demonstrate that the traffic intensity (or utilization) of each execution server, as well as the configuration of server clusters, in a heterogeneous data center will impact the performance of the system. Our results indicate that our analytical model is effective in accurately estimating the performance of the heterogeneous data center.
Mathematics Subject Classification ID: 90B22
zbMATH DE Number: 6927748
Wikidata QID: Q59120124
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/980945
OpenAlex ID: W1479684573
cites work: Optimal Power Allocation and Load Distribution for Multiple Heterogeneous Multicore Server Processors across Clouds and Data Centers
description: scientific article; zbMATH DE number 6927748