Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2721
Title: Investigating the Performance in SDN Based Data Centers Under Different Network Topologies
Authors: Rankothge, W
Hemachandra, K. G. R. P.
Jayasena, K. P. N
Wijesiri, M. P. M
Keywords: Investigating
Performance
SDN Based Data Centers
Different Network
Topologies
Issue Date: 23-Feb-2022
Publisher: IEEE
Citation: K. G. R. P. Hemachandra, K. P. N. Jayasena, W. Rankothge and M. P. M. Wijesiri, "Investigating the Performance in SDN Based Data Centers Under Different Network Topologies," 2022 2nd International Conference on Advanced Research in Computing (ICARC), 2022, pp. 361-366, doi: 10.1109/ICARC54489.2022.9753865.
Series/Report no.: 2022 2nd International Conference on Advanced Research in Computing (ICARC);
Abstract: A data center architecture can be determined as the basic structure of a cloud computing data center. However, the expected outcome cannot be obtained even though the tools, technologies, and elements are advanced. It is crucial to select the right architecture as architecture used, which directly affects the operational cost and power consumption of the data center. The SDN, Software Defined Networking, is a novel technology of cloud computing. This SDN is used to separate the control panel and forwarding plane as well, as it enables programmable network components. Therefore, the components of the SDN can easily control and managed. This research aimed to select an SDN-based architecture for a data center. Here, there are two parameters of average throughput and average packet delay on the three existing architectures that are tested using simulation. Then the results are compared with each other. In this research, the accuracy correlations among average packet delay and average throughput are investigated. The Obtained results show that Fat-Tree architecture is the best one among VL2 and hybrid architecture consists with flat tree and VL2 technology in terms of their performances.
URI: http://rda.sliit.lk/handle/123456789/2721
ISBN: 978-1-6654-0741-0
Appears in Collections:Department of Computer Systems Engineering
Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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