✏️ Writing Paper

[apierr]

🚀 Provisional Title

Intelligent Horizontal Scaling for IoT-Integrated Permissionless Blockchain Infrastructures

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📝 Abstract

This paper presents an innovative framework based on Docker Compose and Kubernetes for deploying decentralized infrastructures on permissionless blockchains, with a focus on integration with IoT devices.
The framework can perform intelligent horizontal scaling in response to traffic spikes, avoiding over-scaling and inefficiencies through time-aware decision logic and dynamic metrics.
We demonstrate how the combination of smart autoscaling, spike management, performance optimization, and scalability in distributed environments improves system reliability and availability.
Preliminary results on performance and stability are presented, highlighting the framework's potential for high-density IoT applications and decentralized blockchain systems.

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📌 1. Introduction

• General context: permissionless blockchains and IoT integration.
• Problem statement: managing traffic spikes in decentralized infrastructures.
• Motivation: the importance of intelligent autoscaling to ensure efficiency and reliability.
• Contributions of this work.

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📚 2. Background and Related Work

• Overview of permissionless blockchains and IoT integration.
• Kubernetes autoscaling: traditional approaches vs intelligent approaches.
• Gaps in the literature: intelligent spike management and time-aware scaling.

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🏗️ 3. Framework Architecture

• Main components: Docker Compose, Kubernetes, IoT API, blockchain nodes.
• Infrastructure diagram and request flow.
• Description of the horizontal scaling mechanism.

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⚡ 4. Intelligent Spike Management

• Strategy to distinguish temporary spikes from sustained load.
• Logic based on time intervals and dynamic thresholds.
• Decision algorithm or schema for intelligent scaling.
• Advantages over immediate and continuous scaling.

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📊 5. Performance and Reliability

• Evaluation metrics: latency, throughput, number of pods scaled, resource usage.
• Results from tests or simulations.
• Analysis of framework stability and efficiency.

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🌐 6. Scalability in Decentralized Environments

• How the framework preserves decentralization.
• Scalability in distributed environments with high-density IoT devices.
• Potential for real-world and industrial applications.

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🤔 7. Discussion and Limitations

• Critical points and possible improvements.
• Limitations of the current approach.
• Directions for future work.

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✅ 8. Conclusions

• Summary of main results.
• Implications for IoT and blockchain applications.
• Scientific and innovative contributions of the framework.

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📖 9. References

• Literature on blockchain, Kubernetes, autoscaling, IoT, and spike management.