Dynamic Resource Management in Cloud Computing

Deploying and managing business applications has been transformed by cloud computing. In recent years, IT infrastructure has become more adaptable thanks to its unmatched flexibility, scalability, and cost-effectiveness. In order to maintain optimal performance, dynamic resource management is a key component of this transformation. A discussion of fundamental principles and advanced strategies for managing dynamic resources in cloud environments is presented based on Microsoft Azure Functions and Cosmos DB implementations. Real-time scaling, load balancing, and resource allocation are part of dynamic resource management. Two widely used Azure services, Azure Functions and Cosmos DB, are used to demonstrate practical implementations of dynamic resource management. The serverless architecture of Azure Functions enables seamless scalability, automatically adjusting resources to meet demand while ensuring operational efficiency. In addition, Cosmos DB provides advanced features like auto-scaling throughput and global distribution, making it an effective tool for managing dynamic resources in cloud-native applications.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-23
DOI
https://doi.org/10.5281/zenodo.14914566
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
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article

Dynamic Resource Management in Cloud Computing

Zenodo (CERN European Organization for Nuclear Research)
MRI in cancer diagnosis
article

Dynamic Resource Management in Cloud Computing

article en

Abstract

Deploying and managing business applications has been transformed by cloud computing. In recent years, IT infrastructure has become more adaptable thanks to its unmatched flexibility, scalability, and cost-effectiveness. In order to maintain optimal performance, dynamic resource management is a key component of this transformation. A discussion of fundamental principles and advanced strategies for managing dynamic resources in cloud environments is presented based on Microsoft Azure Functions and Cosmos DB implementations. Real-time scaling, load balancing, and resource allocation are part of dynamic resource management. Two widely used Azure services, Azure Functions and Cosmos DB, are used to demonstrate practical implementations of dynamic resource management. The serverless architecture of Azure Functions enables seamless scalability, automatically adjusting resources to meet demand while ensuring operational efficiency. In addition, Cosmos DB provides advanced features like auto-scaling throughput and global distribution, making it an effective tool for managing dynamic resources in cloud-native applications.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 41%
MRI in cancer diagnosis
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Dynamic Resource Management in Cloud Computing · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS