WOACCPP: Wisdom Of Artificial Crowds for Controller Placement Problem with Latency and Reliability in SDN-WAN

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This study introduces the Wisdom of Artificial Crowds (WOAC) algorithm for optimized controller placement in SDN-WAN, achieving a 10% improvement in latency and increased reliability compared to existing methods.

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The paper studies the Software-Defined Networking controller placement problem (CPP), aiming to choose locations for multiple controllers in an SDN-WAN to balance propagation latency and reliability. Using a Wisdom of Artificial Crowds (WOAC) genetic algorithm, the authors optimize controller placement by minimizing latency while using the fewest possible controllers, and they evaluate performance on the Internet2 OS3E topology. Compared with Modified Density Peak Clustering (MDPC) and optimized K-means approaches, the proposed technique reportedly improves latency and maximizes reliability, with an approximately 10% latency improvement. A major caveat is that the work is a preprint and not peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

The highly motivated Software-Defined Networking (SDN), the network programmability architecture made network maintenance easy. Multiple controllers are used to provide better scalability and reliability to the network in SDN. However, to enhance the network’s performance in networks at a large scale, the placement of controllers needs to be optimized. The Wisdom of Artificial Crowds (WOAC) genetic algorithm is used to minimize propagation latency by using the fewest possible controllers. To evaluate the performance of proposed technique the Internet2 OS3E topology is considered. The proposed controller placement technique reduces latency and improves reliability by comparing the existing solutions namely Modified Density Peak Clustering (MDPC) and optimized K-means approaches. The proposed method out performs existing techniques by 10% improves in latency and maximizes the reliability.
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WOACCPP: Wisdom Of Artificial Crowds for Controller Placement Problem with Latency and Reliability in SDN-WAN | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article WOACCPP: Wisdom Of Artificial Crowds for Controller Placement Problem with Latency and Reliability in SDN-WAN Vidya Sagar Thalapala, Anandhu Mohan, Koppala Guravaiah This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1660537/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The highly motivated Software-Defined Networking (SDN), the network programmability architecture made network maintenance easy. Multiple controllers are used to provide better scalability and reliability to the network in SDN. However, to enhance the network’s performance in networks at a large scale, the placement of controllers needs to be optimized. The Wisdom of Artificial Crowds (WOAC) genetic algorithm is used to minimize propagation latency by using the fewest possible controllers. To evaluate the performance of proposed technique the Internet2 OS3E topology is considered. The proposed controller placement technique reduces latency and improves reliability by comparing the existing solutions namely Modified Density Peak Clustering (MDPC) and optimized K-means approaches. The proposed method out performs existing techniques by 10% improves in latency and maximizes the reliability. Software Defined Networking (SDN) Controller Placement Problem (CPP) Genetic Algorithm Network Latency Reliability Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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