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Even though many tools are available in the industry, the fully automated product which comprises deployment, monitoring, resiliency evaluation and optimization ...
An artificial intelligence (AI)-based centralized resource management tool is proposed that provides an automated low latency container management, ...
Artificial Intelligence-Based Centralized Resource Management Application for Distributed Systems ... management of distributed microservices based applications ...
This publication suggests a centralized resource management application for distributed systems, which mainly focuses on resource allocation, container ...
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Sep 12, 2024 · This paper aims to draw motivations and necessities for data-driven solutions in resource management. It identifies the challenges associated with it.
AI and ML models could be used to model and predict application and infrastructure level metrics that could also assist in task/resource orchestration by ...
May 17, 2024 · Edge AI refers to deploying artificial intelligence (AI) algorithms and models directly on edge devices, such as sensors, smartphones, or Internet of Things ( ...
Ugur Karadag's Post · Artificial Intelligence-Based Centralized Resource Management Application for Distributed Systems · More Relevant Posts · Understanding ...
Feb 27, 2024 · This paper proposes an innovative approach to solve complex problems in cloud computing resource scheduling and management using machine learning optimization ...
Jul 31, 2024 · AI helps optimize tasks such as load balancing, fault detection, and resource allocation. By analyzing data patterns and making real-time ...