Welcome to the InfoSci Platform
AttentiveSDN: EndHost Awareness-Based Power-Optimized Software-Defined Networks

AttentiveSDN: EndHost Awareness-Based Power-Optimized Software-Defined Networks

Mahmoud Al Ahmad, Suchismita Rout, Sudhansu Shekhar Patra, Bibhudatta Sahoo, Harishchandra Dubey, Rabindra Kumar Barik
Copyright: © 2022 |Volume: 15 |Issue: 1 |Pages: 22
ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781683180340|DOI: 10.4018/JITR.299381
Cite Article Cite Article

MLA

Al Ahmad, Mahmoud, et al. "AttentiveSDN: EndHost Awareness-Based Power-Optimized Software-Defined Networks." JITR vol.15, no.1 2022: pp.1-22. http://doi.org/10.4018/JITR.299381

APA

Al Ahmad, M., Rout, S., Patra, S. S., Sahoo, B., Dubey, H., & Barik, R. K. (2022). AttentiveSDN: EndHost Awareness-Based Power-Optimized Software-Defined Networks. Journal of Information Technology Research (JITR), 15(1), 1-22. http://doi.org/10.4018/JITR.299381

Chicago

Al Ahmad, Mahmoud, et al. "AttentiveSDN: EndHost Awareness-Based Power-Optimized Software-Defined Networks," Journal of Information Technology Research (JITR) 15, no.1: 1-22. http://doi.org/10.4018/JITR.299381

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Internet users are increasing day by day due to its support for many applications and creation of innovative services. Along with this, energy consumption is also becoming an important concern in networking. Several researchers have investigated energy saving schemes for networks. Software Defined Networking (SDN) is an excellent choice which improves network functionalities with flexible management aided by centralized control. Recent studies designed efficient algorithms for advancing SDN with overall energy savings. Shutting down idle links and switches are one among numerous such solutions available for SDN. In this paper, we proposed a novel algorithm named AttentiveSDN for reducing the energy consumption in SDNs. Here the controller collects the traffic and the link status from the switches involved in network operation and takes the decision to put which idle links and switches into sleep state . We evaluated the performance of the AttentiveSDN algorithm using Mininet. The result has shown that our proposed approach saves more power than existing solutions.