Minding the gap between fast heuristics and their optimal counterparts

Namyar, Pooria; Arzani, Behnaz; Beckett, Ryan; Segarra, Santiago; Raj, Himanshu; Kandula, Srikanth

doi:10.1145/3563766.3564102

Cited by 7 publications

(2 citation statements)

References 18 publications

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“…Additionally, the ability to adapt to changes in problem specifications or constraints without significant modifications is a valuable characteristic. MetaOpt, a system designed to analyze heuristics, exemplifies the importance of scalability and flexibility by efficiently encoding heuristics for solver analysis across different domains (Namyar et al, 2023).…”

Section: Scalability and Flexibilitymentioning

confidence: 99%

Optimization in Systems Engineering: A Review of How Data Analytics and Optimization Algorithms Are Applied

Oladele Junior Adeyeye,

Ibrahim Akanbi

2024

Comput. sci. IT res. j.

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This research review article provides a comprehensive examination of optimization techniques in systems engineering, highlighting their pivotal role in enhancing system performance, efficiency, and problem-solving capabilities. Through a structured exploration encompassing theoretical frameworks, methodologies, applications, and significant findings, the article synthesizes current knowledge and advancements in the field. It delves into various optimization methods, including traditional linear and nonlinear programming, alongside emerging trends such as swarm intelligence, nature-inspired algorithms, and the integration of machine learning. Case studies and recent research findings underscore the practical implications and effectiveness of these techniques across diverse engineering challenges. The review identifies key insights, demonstrating the versatility and potential of optimization techniques to drive innovation in systems engineering. Furthermore, it offers recommendations for future research directions and practical applications, emphasizing the importance of interdisciplinary approaches, algorithm development, and the adoption of advanced techniques in industry practices. This article aims to inform researchers and practitioners alike, fostering the continued evolution and application of optimization techniques in systems engineering. Keywords: Optimization Techniques, Systems Engineering, Swarm Intelligence, Machine Learning, Algorithm Development.

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Section: Scalability and Flexibilitymentioning

confidence: 99%

Optimization in Systems Engineering: A Review of How Data Analytics and Optimization Algorithms Are Applied

Oladele Junior Adeyeye,

Ibrahim Akanbi

2024

Comput. sci. IT res. j.

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“…Another preprocessing technique briefly described by Microsoft [16], [17] is Demand Pinning (DP). It is based on the observation that in many networks (i.e.…”

Section: Demand Pinningmentioning

confidence: 99%

On the Benefits of Loops for Segment Routing Traffic Engineering

Brundiers

Schüller

Aschenbruck

2021

2021 IEEE 46th Conference on Local Computer Networks (LCN)

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Over the recent years, Segment Routing (SR)-based Traffic Engineering (TE) received more and more attention in the research community. However, what has been mostly neglected so far is its capability to configure looping forwarding paths that visit nodes or even edges multiple times. In this paper, we show that, against intuition, the configuration of such loops can inherit (in some occasions significant) benefits with regards to common TE objectives if Equal Cost Multipath (ECMP) is used. This is not only illustrated on small theoretical examples but also confirmed for 2SR with real-world data from the backbone network of a Tier-1 Internet Service Provider, as well as other publicly available topologies.

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