Title: On adaptive multi-objective optimization for greener wired networks

Abstract

In this research, we develop a novel adaptive Multi-Objective Optimization (MOO) algorithm to jointly minimize the Power Consumption (PC) and Maximum Link Utilization (MLU) of wired computer networks. This novel algorithm, based on Non-dominated Sorting Genetic Algorithm II (NSGA-II), is able to discover the optimal link weights configuration for wired networks based on live network traffic data. The goal is to minimize both PC and MLU when this optimal link weights configuration is applied to the network. The impact of the Internet and wired networks’ growing power consumption on costs and environment continues to be a major concern of network operators. Our adaptive MOO scheme can be applied to any wired network to reduce its power consumption with acceptable load balancing to help achieve greener energy-efficient networks. In order to validate our solution, we run experiments on two different network topologies with various network traffic data to compare the performance of three different methods of updating the link weights: random, delta-weight, and hybrid. The experiment results show that all three methods can find optimal solutions to achieve both reduced PC and MLU. Compared to the default link weights configuration, the optimal solution found by hybrid approach is the best since it can reduce the PC by 35.24%, while reducing MLU by 42.86% for specific traffic pattern on Abilene network topology.

Biography

Hatem is a Sr. director at Broadcom Communication & Switching Group (CSG) managing a multinational diverse team. He has more than 29 years of experience including extensive involvement with VLSI micro architecture, chip design, CAD, and backend physical design. Previously he worked at Intel’s processors group, Cypress Semiconductor’s Data Communication group, Oplus Technology startup managing the physical backend design and CAD group and lead Marvell’s backend group developing EBU network switches. Additionally he co-founded Coreum and Annapurna startups that focus on SoC (System On Chip) designs. He holds several patents in the domain of chip design. He received the Ph.D. degree from the college of computing and engineering, NSU (Nova Southeastern University) in 2019. He holds a Master’s degree in EE from Georgia Institute of Technology since 1991, and B.Sc.in EE from Technion from 1989. He has published several papers related to his PhD field of study of saving energy of internet networks.