Staff Members - Benha University
Mohamed I. Hamed, Basem M. ElHalawany, Mostafa M. Fouda, and Adly S. Tag Eldien, “Novel Approach for Resource Utilization and Management in SDN”, Proceedings of the 2017 International Computer Engineering Conference (ICENCO 2017), Giza, Egypt, December 27-28, 2017.
Proceedings of the 2017 International Computer Engineering Conference (ICENCO 2017), Giza, Egypt • 2017
Publication Information
Authors
Mohamed I. Hamed, Basem M. ElHalawany, Mostafa M. Fouda, and Adly S. Tag Eldien
Keywords
Not Available
Journal
Proceedings of the 2017 International Computer Engineering Conference (ICENCO 2017), Giza, Egypt
Publisher
IEEE
Volume
Not Available
Issue
Not Available
Pages
Not Available
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
Abstract:
Software-Defined Networking (SDN) is a recent technology that makes a breakthrough into the computer networking world. SDN has a significant role in network optimization and performance improvement. The main SDN concept is separating both the data and control planes which allows network programmability and flexibility. Since the current traditional network cannot endure more user needs, we apply different load balancing strategies to distribute the user requests among a number of servers. In this paper, we propose two OpenFlow-based approaches for dynamic server load balancing in SDN environment. Hence, we implement “CPU-based” and “CPU-Memory-based” load balancing techniques and evaluate their performance compared to the static Round-robin and random-based load balancing techniques using Ryu OpenFlow controller. The results show that the proposed schemes achieve more reliability and higher resource utilization than the Round-robin and random-based load balancing strategies. In addition, they have a lower response time and higher transaction rate and throughput. The proposed schemes exhibit more scalability and low-cost characteristics.
Software-Defined Networking (SDN) is a recent technology that makes a breakthrough into the computer networking world. SDN has a significant role in network optimization and performance improvement. The main SDN concept is separating both the data and control planes which allows network programmability and flexibility. Since the current traditional network cannot endure more user needs, we apply different load balancing strategies to distribute the user requests among a number of servers. In this paper, we propose two OpenFlow-based approaches for dynamic server load balancing in SDN environment. Hence, we implement “CPU-based” and “CPU-Memory-based” load balancing techniques and evaluate their performance compared to the static Round-robin and random-based load balancing techniques using Ryu OpenFlow controller. The results show that the proposed schemes achieve more reliability and higher resource utilization than the Round-robin and random-based load balancing strategies. In addition, they have a lower response time and higher transaction rate and throughput. The proposed schemes exhibit more scalability and low-cost characteristics.