Work place: National Institute of Technology Puducherry, Department of Computer Science and Engineering, Karaikal, 609609, India
E-mail: narendran@nitpy.ac.in
Website:
Research Interests: Sensor, Wireless Networks
Biography
Narendran Rajagopalan received Bachelor of Engineering degree in Information Science and Engineering from Vidyavikas Institute of Engineering and Technology, Mysore in 2004 and Master of Technology in Networking and Internet Engineering from Sri Jayachamarajendra College of Engineering, Mysore in 2007 and PhD degree in Computer Science and Engineering from National Institute of Technology Trichy, Trichy in 2013. He is currently working as an Assistant Professor and Head in the department of Computer Science and Engineering at National Institute of Technology Puducherry, Karaikal. His research interests include wireless sensor networks, software-defined networking, data center networks, 5G communications, and Blockchain.
By Bommareddy Lokesh Narendran Rajagopalan
DOI: https://doi.org/10.5815/ijcnis.2023.05.05, Pub. Date: 8 Oct. 2023
The underlying objective of segment routing is to avoid maintenance of the per-flow state at forwarding devices. Segment routing (SR) enables the network devices to minimize their forwarding table size by generalizing the forwarding rules and making them applicable to multiple flows. In existing works, optimizing the trade-off between segment length and the number of co-flows sharing the segment is considered the key to determining optimal segment endpoints. However, the flow characteristics like the lifetime of flows, and dynamically altering routing paths are critical and impact the performance of SR. Ideally, network flows considered for SR are expected to persist for a longer duration and adhere to static routing paths. But our analysis of flow characteristics at a typical data center reveals that the majority of flows are short-lived. Also, network flows are subject to alter their routing paths frequently for several reasons. Considering short-lived flows and flows that dynamically alter their routing paths may lead to choosing unstable segment endpoints. Hence, it is necessary to study the flow characteristics for determining more stable segment endpoints. In this paper, the authors implemented the SR technique considering the flow characteristics at an SDN-enabled data center and the results show a significant improvement with respect to the stability of segment endpoints.
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