Summary of Ai-driven Resource Allocation Framework For Microservices in Hybrid Cloud Platforms, by Biman Barua and M. Shamim Kaiser
AI-Driven Resource Allocation Framework for Microservices in Hybrid Cloud Platforms
by Biman Barua, M. Shamim Kaiser
First submitted to arxiv on: 3 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computational Engineering, Finance, and Science (cs.CE); Performance (cs.PF); Software Engineering (cs.SE); Systems and Control (eess.SY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes an AI-driven framework for resource allocation among microservices in hybrid cloud platforms, utilizing reinforcement learning (RL) to optimize resource utilization. The framework integrates AI models with cloud management tools to respond to challenges of dynamic scaling and cost-efficient low-latency service delivery. Preliminary simulation results show that using AI can reduce costs by up to 30-40% compared to manual provisioning and threshold-based auto-scaling approaches, while improving efficiency in resource utilization by 20%-30% and reducing latency by 15%-20%. The proposed framework outperforms existing static and rule-based methods in terms of flexibility and real-time responsiveness. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper uses artificial intelligence to make decisions about how to use computer resources in a way that saves time and money. It creates a system that can adjust the amount of resources given to different parts of an application based on how they are being used, which helps reduce waste and improve performance. The results show that this approach can save up to 30-40% compared to traditional methods, while also reducing latency by 15%-20%. This is an important step forward in managing computer resources in a way that makes sense. |
Keywords
» Artificial intelligence » Reinforcement learning
