Optimizing Scalability and Availability of Cloud Based Software Services Using Modified Scale Rate Limiting Algorithm

Latha, V.L. Padma; Reddy, Narendra; Babu, A. Suresh

doi:10.1016/j.tcs.2022.07.019

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…The infrastructure of cloud-based solutions is elastic and can scale resources up or down based on demand. This is especially essential for transportation systems with fluctuating loads, such as traffic management during rush hour or peak season [19].…”

Section: Cloud-based Solutions For Intelligent Transportation Applica...mentioning

confidence: 99%

Protecting Data and Privacy: Cloud-based Solutions for Intelligent Transportation Applications

Singha,

Singha

2023

SCPE

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The interaction between transportation networks and intelligent transportation systems has been revolutionized by cloud computing. However, the reliance on cloud-based solutions raises security and privacy concerns. This article examines the challenges of safeguarding data and privacy in intelligent transportation applications and emphasizes the potential of cloud-based solutions to resolve these issues. Organizations can protect sensitive data and user privacy by employing encryption, access controls, threat detection mechanisms, and privacy protection measures. Adopting these cloud-based solutions will encourage the extensive adoption of intelligent transportation applications while infusing users and stakeholders with confidence.

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Section: Cloud-based Solutions For Intelligent Transportation Applica...mentioning

confidence: 99%

Protecting Data and Privacy: Cloud-based Solutions for Intelligent Transportation Applications

Singha,

Singha

2023

SCPE

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“…The token bucket algorithm [ 32 ] can be further optimized by adjusting the token generation rate based on network conditions. For example, if congestion is detected, the token generation rate can be reduced to prevent further congestion.…”

Section: Proposed Modelmentioning

confidence: 99%

Traffic Management in IoT Backbone Networks Using GNN and MAB with SDN Orchestration

Guo¹,

Yu²,

Khan

et al. 2023

Sensors

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Traffic management is a critical task in software-defined IoT networks (SDN-IoTs) to efficiently manage network resources and ensure Quality of Service (QoS) for end-users. However, traditional traffic management approaches based on queuing theory or static policies may not be effective due to the dynamic and unpredictable nature of network traffic. In this paper, we propose a novel approach that leverages Graph Neural Networks (GNNs) and multi-arm bandit algorithms to dynamically optimize traffic management policies based on real-time network traffic patterns. Specifically, our approach uses a GNN model to learn and predict network traffic patterns and a multi-arm bandit algorithm to optimize traffic management policies based on these predictions. We evaluate the proposed approach on three different datasets, including a simulated corporate network (KDD Cup 1999), a collection of network traffic traces (CAIDA), and a simulated network environment with both normal and malicious traffic (NSL-KDD). The results demonstrate that our approach outperforms other state-of-the-art traffic management methods, achieving higher throughput, lower packet loss, and lower delay, while effectively detecting anomalous traffic patterns. The proposed approach offers a promising solution to traffic management in SDNs, enabling efficient resource management and QoS assurance.

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All You Need to Know About Cloud Elasticity Technologies

Shrestha,

Song,

Liu

et al. 2023

Preprint

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Optimizing Scalability and Availability of Cloud Based Software Services Using Modified Scale Rate Limiting Algorithm

Cited by 3 publications

References 27 publications

Protecting Data and Privacy: Cloud-based Solutions for Intelligent Transportation Applications

Protecting Data and Privacy: Cloud-based Solutions for Intelligent Transportation Applications

Traffic Management in IoT Backbone Networks Using GNN and MAB with SDN Orchestration

All You Need to Know About Cloud Elasticity Technologies

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