An Adaptive Load Balancing Technique for Multi SDN Controllers

Praveen, S. Phani; Sarala, Pappula; Kumar, T N S Koti Mani; Manuri, Siva Ganesh; Srinivas, V Sai; Swapna, D.

doi:10.1109/icaiss55157.2022.10010881

Cited by 26 publications

(3 citation statements)

References 20 publications

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“…Explainable AI is used in critical sectors like healthcare, signal processing, etc. Methods of Explainable AI are being classified into two categories: knowledge-driven and datadriven [11]. Knowledge-driven XAI needs knowledge about the methods to provide the explanation.…”

Section: Figure 3 -Different Machine Learning Methodsmentioning

confidence: 99%

Towards Trustworthy Telemedicine: Applying Explainable AI for Remote Healthcare Recommendations

2023

IJPREMS

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In the rapidly evolving landscape of healthcare, telemedicine has emerged as a pivotal tool, offering patients remote access to medical consultations and treatments. However, the trustworthiness of telemedicine platforms remains a concern, especially when artificial intelligence (AI) is employed to provide healthcare recommendations. This research paper delves into the application of Explainable AI (XAI) in telemedicine to enhance its trustworthiness and transparency. We investigate the current challenges faced by telemedicine platforms, particularly in the context of AIdriven recommendations, and explore how XAI can address these issues by offering clear, understandable explanations for AI-generated outputs. Our findings indicate that integrating XAI into telemedicine not only bolsters patient trust but also empowers healthcare professionals to make more informed decisions based on AI recommendations. We conclude by proposing a framework for the seamless integration of XAI in telemedicine platforms and discuss its potential implications for the future of remote healthcare.

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Section: Figure 3 -Different Machine Learning Methodsmentioning

confidence: 99%

Towards Trustworthy Telemedicine: Applying Explainable AI for Remote Healthcare Recommendations

2023

IJPREMS

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“…Praveen et al [71], a strategy involving multiple SDN controllers for dynamic LB is presented. This method efficiently shifts workload from heavily burdened controllers to less burdened ones based on the load status of each controller.…”

Section: Controller Placement Problemmentioning

confidence: 99%

Optimizing high availability multi-controller placement in SDN/NFV 5G networks: a survey

Rasool,

Boujelben,

Zarai

2024

IJEECS

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<p>In meeting the diverse and occasionally conflicting quality of service (QoS) requirements associated with modern communication networks, 5G technology has emerged as a pivotal player. In its architecture, 5G has adopted network function virtualization (NFV) and cloud-based approaches, aiming to simplify network and service deployment, operational processes, and management. The convergence of software defined networking (SDN) and NFV offers an effective solution, enabling scalable and high-performance 5G networks. However, this integration poses critical challenges, with the placement of SDN controllers being a central concern due to its significant impact on network performance, covering aspects such as latency, costs, and energy efficiency. This challenge is known as the controller placement problem (CPP). The central theme of this paper revolves around the intricate relationship between 5G core networks, virtualization technology, and the pressing concern of SDN controller placement, underscoring its significance in the modern networking landscape. We provide a survey of recent methodologies aimed at solving the CPP within the realm of SDN, with a particular focus on resiliency and high availability.</p>

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“…Load balancing is dividing an application's or server's traffic load [11], [12]. Generally, load balancing can be done using several methods, namely: ECMP (Equal-Cost Multi-Path), NTH method, and PCC [13], [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Load Balancing Per Connection Classifier on Mikrotik for Internet Services at Private Vocational Schools

Mustofa,

Wirasto,

Arif Muttakin

et al. 2023

SAGA

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The Internet network is important because now it has entered the 4.0 era, where all community activities are primarily carried out with the help of the Internet. Therefore, the internet network can also connect. One example of using the Internet is currently needed in the school environment. Teachers and students must carry out learning transformations that are usually paper-based and are presently changing through the Internet. As is the case with all teachers and students in private vocational schools. From the results of observations that have been made, not all teachers and students get good internet service. Then, when checking on the server side, it turned out that the internet network management was not following the standards in the field, so the three ISPs (internet service providers) were not being utilized optimally. One solution emerges from presenting these problems: combining and dividing the burden evenly among the three ISPs. The process of distributing the ISP load evenly is called load balancing. In this study, the load balancing method used is the Per Connection Classifier (PCC) method, which can work optimally. This study's findings indicate that the inefficiencies in internet service provision within private vocational schools are due to suboptimal internet network management practices, leading to the need for more utilization of the available internet service providers (ISPs), and proposes the implementation of load balancing as a solution

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An Adaptive Load Balancing Technique for Multi SDN Controllers

Cited by 26 publications

References 20 publications

Towards Trustworthy Telemedicine: Applying Explainable AI for Remote Healthcare Recommendations

Towards Trustworthy Telemedicine: Applying Explainable AI for Remote Healthcare Recommendations

Optimizing high availability multi-controller placement in SDN/NFV 5G networks: a survey

Implementation of Load Balancing Per Connection Classifier on Mikrotik for Internet Services at Private Vocational Schools

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