Concurrency Computation Practice and Experience, volume 25, issue 18, pages 2488-2500
Using latency as a QoS indicator for global cloud computing services
Jens Pedersen
1
,
M Tahir Riaz
1
,
Bozydar Dubalski
2
,
Damian Ledziński
2
,
Joaquim Celestino Júnior
3
,
Ahmed Patel
4
2
Institute of Telecommunications; University of Technology and Life Sciences in Bydgoszcz; Bydgoszcz Poland
|
3
Publication type: Journal Article
Publication date: 2013-06-27
scimago Q2
SJR: 0.533
CiteScore: 5.0
Impact factor: 1.5
ISSN: 15320626, 15320634
DOI:
10.1002/cpe.3081
Computer Science Applications
Computational Theory and Mathematics
Computer Networks and Communications
Software
Theoretical Computer Science
Abstract
Many globally distributed cloud computing (CC) applications and services running over the Internet, between globally dispersed clients and servers, will require certain levels of QoS in order to deliver and give a sufficiently smooth user experience. This would be essential for real-time streaming multimedia applications such as online gaming and watching movies on a pay as you use basis hosted in a CC environment. However, guaranteeing or even predicting QoS in global and diverse networks that are supporting complex hosting of application services is a very challenging issue that needs a stepwise refinement approach to be solved as the technology of CC matures. In this paper, we investigate if latency in terms of simple ping measurements can be used as an indicator for other QoS parameters such as jitter and throughput. The experiments were carried out on a global scale, between servers placed in universities in Denmark, Poland, Brazil, and Malaysia. The results show the correlation between latency and throughput, and between latency and jitter, even though the results are not completely consistent. As a side result, we were able to monitor the changes in QoS parameters during a number of 24-hour periods. This is also a first step toward defining QoS parameters to be included in service level agreements for CC at the global scale in the foreseeable future. Concurrency and Computation: Practice and Experience, 2013.© 2013 Wiley Periodicals, Inc. Received 31 May 2013; Accepted 4 June 2013
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