A Comparative Analysis of Apache Cloud Projects for Data Storage

Cloud computing has become a fundamental technology across industries, providing scalable, cost-effective solutions to manage increasingly complex workloads. The Apache Software Foundation has played a pivotal role in cloud development by offering a variety of open-source projects that address different cloud computing needs. This paper presents a comparative analysis of 15 major Apache cloud projects, focusing on their features, categories, architectures, and suitability for data storage. The projects covered include Apache Airavata, Brooklyn, Camel, CloudStack, CouchDB, EventMesh, Helix, Ignite, Jclouds, Libcloud, Mesos, Solr Operator, Traffic Control, VCL, and YuniKorn.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/commnet63022.2024.10793258
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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A Comparative Analysis of Apache Cloud Projects for Data Storage

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A Comparative Analysis of Apache Cloud Projects for Data Storage

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Abstract

Cloud computing has become a fundamental technology across industries, providing scalable, cost-effective solutions to manage increasingly complex workloads. The Apache Software Foundation has played a pivotal role in cloud development by offering a variety of open-source projects that address different cloud computing needs. This paper presents a comparative analysis of 15 major Apache cloud projects, focusing on their features, categories, architectures, and suitability for data storage. The projects covered include Apache Airavata, Brooklyn, Camel, CloudStack, CouchDB, EventMesh, Helix, Ignite, Jclouds, Libcloud, Mesos, Solr Operator, Traffic Control, VCL, and YuniKorn.

Université Ibn-Tofail (MA)
Industry, innovation and infrastructure
Openalex Percentile: Top 64%
Big Data and Business Intelligence
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