Ashutosh Kumar Singh

Work place: CSED, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India

E-mail: ashuit89@gmail.com

Website:

Research Interests: Software Engineering, Computer Architecture and Organization, Data Structures and Algorithms, Combinatorial Optimization

Biography

Ashutosh Kumar Singh obtained his B.Tech degree in Information Technology from Uttar Pradesh Technical University Lucknow, India in 2011 and M.Tech degree in Computer Science and Engineering from Indian Institute of Information Technology and Management Gwalior, India in 2014. Now he is a Ph.D. student in the Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj 211004, India. He is having a membership of IEEE and ACM. His research interest includes network optimization and Software Defined Networking.

Author Articles
PSO and TLBO based Reliable Placement of Controllers in SDN

By Ashutosh Kumar Singh Naveen Kumar Shashank Srivastava

DOI: https://doi.org/10.5815/ijcnis.2019.02.05, Pub. Date: 8 Feb. 2019

SDN (software defined networks) is a programmable network architecture that divides the forwarding plane and control plane. It can centrally manage the network through a software program, i.e., controller. Multiple controllers are required to manage the current software defined WAN. Placing multiple controllers in a network is known as controller placement problem (CPP). Only one controller is not capable to handle the scalability and reliability issues. To tackle these issues, multiple controllers are required. Efficient deployment of controllers in SDN is used to improve the performance and reliability of the network. To the best of our knowledge, this is the first attempt to minimize the total average latency of reliable SDN along with the implementation of TLBO and PSO algorithms to solve CPP. Our experimental results show that TLBO outperforms PSO for publicly available topologies.

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Varna-based Optimization: A New Method for Solving Global Optimization

By Ashutosh Kumar Singh Saurabh Shashank Srivastava

DOI: https://doi.org/10.5815/ijisa.2018.12.01, Pub. Date: 8 Dec. 2018

A new and simple optimization algorithm known as Varna-based Optimization (VBO) is introduced in this paper for solving optimization problems. It is inspired by the human-society structure and human behavior. Varna (a Sanskrit word, which means Class) is decided by people’s Karma (a Sanskrit word, which means Action), not by their birth. The performance of the proposed method is examined by experimenting it on six unconstrained, and five constrained benchmark functions having different characteristics. Its results are compared with other well-known optimization methods (PSO, TLBO, and Jaya) for multi-dimensional numeric problems. Our experimental results show that the VBO outperforms other optimization algorithms and have proved the better effectiveness of the proposed algorithm.

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