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Article

QoS-Aware Power-Optimized Path Selection for Data Center Networks (Q-PoPS)

by
Mohammed Nsaif
1,2,3,*,
Gergely Kovásznai
4,
Ali Malik
5 and
Ruairí de Fréin
5
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 / Accepted: 23 July 2024 / 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.
Keywords: data center networks; energy efficiency; quality of service; software-defined networking; real-time traffic; power optimization; QoS-aware path selection data center networks; energy efficiency; quality of service; software-defined networking; real-time traffic; power optimization; QoS-aware path selection

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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