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Open AccessArticle
QoS-Aware Power-Optimized Path Selection for Data Center Networks (Q-PoPS)
by
Mohammed Nsaif
Mohammed Nsaif
Mohammed Nsaif is a Ph.D. candidate student at the University of Debrecen, Faculty of Informatics, [...]
Mohammed Nsaif is a Ph.D. candidate student at the University of Debrecen, Faculty of Informatics, Department of Information Technology. He received his M.S. in Infocommunication technology and communication systems from Kazan National Research Technical University in the Russian Federation. His research interests include Software Defined Networking, Computer Networks, Wireless Sensor Networks, and Machine Learning.
1,2,3,*
,
Gergely Kovásznai
Gergely Kovásznai
Gergely Kovásznai is an associate professor and head of the Department of Computational Science at [...]
Gergely Kovásznai is an associate professor and head of the Department of Computational Science at the Eszterh\'azy K\'aroly Catholic University in Eger, Hungary. He received his Ph.D. degree in Formal Methods and Automated Theorem Proving from the University of Debrecen, Hungary, in 2007. Over the years, he worked as a research fellow at the Aristotle University of Thessaloniki, Greece, at the Johannes Kepler University Linz, Austria, and at the Vienna University of Technology, Austria. His research interests include Formal Methods, Formal Verification, Operations Research, and Machine Learning,
4
,
Ali Malik
Ali Malik
Ali Malik is an Assistant Lecturer in computer engineering at the School of Electrical and Dublin, a [...]
Ali Malik is an Assistant Lecturer in computer engineering at the School of Electrical and Electronic Engineering, Technological University Dublin, Ireland. He holds a Ph.D. degree in computing from the University of Portsmouth, United Kingdom, in 2019. He worked as a postdoctoral researcher at FOCAS Research Institute, Technological University Dublin, in areas related to data centers, monitoring and software-defined networking. His current research interests include software-defined networks, vehicular networks, traffic engineering, machine learning, cybersecurity, microgrids, and power networks.
5
and
Ruairí de Fréin
Ruairí de Fréin
Ruairí de Fréin is a CONNECT Funded Investigator and Lecturer at the School of Electrical and at [...]
Ruairí de Fréin is a CONNECT Funded Investigator and Lecturer at the School of Electrical and Electronic Engineering, at Technological University Dublin, Ireland. He received his B.E. degree in Electronic Engineering in 2004 and his Ph.D. degree in Time-Frequency Analysis and Matrix Factorization from University College Dublin (UCD), Ireland, in 2010. He held Marie Skłodowska-Curie fellowships in KTH Royal Institute of Technology, Stockholm and also with Amadeus SAS, Sophia Antipolis, France. Over the past few years, he has developed algorithms for predicting quality-of-delivery metrics for network management and monitoring strategies for small cell networks, and monitoring techniques for Internet Protocol Television (IPTV). His research interests include Machine Learning, Sparse Signal Processing, Software-Defined Networks, Vehicular Networks, Microgrids and Power Networks.
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1
Department of Information Technology, University of Debrecen, 4032 Debrecen, Hungary
2
Department of Business Management, University of Kufa, Al-Najaf 540011, Iraq
3
Department of Computer Science, Al-imam University College, Balad 34011, Iraq
4
Department of Computational Science, Eszterhazy Karoly Catholic University, 3300 Eger, Hungary
5
School of Electrical and Electronic Engineering, Technological University Dublin, D07 EWV4 Dublin, Ireland
*
Author to whom correspondence should be addressed.
Electronics 2024, 13(15), 2976; https://doi.org/10.3390/electronics13152976 (registering DOI)
Submission received: 10 June 2024
/
Revised: 15 July 2024
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Accepted: 23 July 2024
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Published: 28 July 2024
(This article belongs to the Section
Networks)
Abstract
Data centers consume significant amounts of energy, contributing indirectly to environmental pollution through greenhouse gas emissions during electricity generation. According to the Natural Resources Defense Council, information and communication technologies and networks account for roughly 10% of global energy consumption. Reducing power consumption in Data Center Networks (DCNs) is crucial, especially given that many data center components operate at full capacity even under low traffic conditions, resulting in high costs for both service providers and consumers. Current solutions often prioritize power optimization without considering Quality of Service (QoS). Services such as video streaming and Voice over IP (VoIP) are particularly sensitive to loss or delay and require QoS to be maintained below certain thresholds. This paper introduces a novel framework called QoS-Aware Power-Optimized Path Selection (Q-PoPS) for software-defined DCNs. The objective of Q-PoPS is to minimize DCN power consumption while ensuring that an acceptable QoS is provided, meeting the requirements of DCN services. This paper describes the implementation of a prototype for the Q-PoPS framework that leverages the POX Software-Defined Networking (SDN) controller. The performance of the prototype is evaluated using the Mininet emulator. Our findings demonstrate the performance of the proposed Q-PoPS algorithm in three scenarios. Best-case: Enhancing real-time traffic protocol quality without increasing power consumption. midrange-case: Replacing bottleneck links while preserving real-time traffic quality. Worst-case: Identifying new paths that may increase power consumption but maintain real-time traffic quality. This paper underscores the need for a holistic approach to DCN management, optimizing both power consumption and QoS for critical real-time applications. We present the Q-PoPS framework as evidence that such an approach is achievable.
Share and Cite
MDPI and ACS Style
Nsaif, M.; Kovásznai, G.; Malik, A.; de Fréin, R.
QoS-Aware Power-Optimized Path Selection for Data Center Networks (Q-PoPS). Electronics 2024, 13, 2976.
https://doi.org/10.3390/electronics13152976
AMA Style
Nsaif M, Kovásznai G, Malik A, de Fréin R.
QoS-Aware Power-Optimized Path Selection for Data Center Networks (Q-PoPS). Electronics. 2024; 13(15):2976.
https://doi.org/10.3390/electronics13152976
Chicago/Turabian Style
Nsaif, Mohammed, Gergely Kovásznai, Ali Malik, and Ruairí de Fréin.
2024. "QoS-Aware Power-Optimized Path Selection for Data Center Networks (Q-PoPS)" Electronics 13, no. 15: 2976.
https://doi.org/10.3390/electronics13152976
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