Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Bezuglova, Ekaterina; Kucherov, Nikolay; Lapina, Maria; Mary Anita, E.A.; Vinodha, D.; Sujatha, A.K.; Jenefa, J. Title A name given to the resource Using Fog Computing to Accelerate Metagenomic Data Analysis Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of 2025 IEEE International Conference on Contemporary Computing and Communications, InC4 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC465408.2025.11256335" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC465408.2025.11256335</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105030325574?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030325574?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bezuglova E., North Caucasian Federal University, Research Laboratory of Biological and Medical Informatics, Faculty of Biomedical Sciences, Stavropol, Russian Federation; Kucherov N., North Caucasian Federal University, Faculty of Mathematics and Computer Science named after Prof. N. I. Chervyakov, Stavropol, Russian Federation; Lapina M., North Caucasian Federal University, Faculty of Mathematics and Computer Science named after Prof. N. I. Chervyakov, Stavropol, Russian Federation; Mary Anita E.A., Christ University, Department of CSE, Bangalore, India; Vinodha D., Christ University, Department of CSE, Bangalore, India; Sujatha A.K., Christ University, Department of CSE, Bangalore, India; Jenefa J., Christ University, Department of CSE, Bangalore, India Description An account of the resource This article discusses the challenges of processing and analyzing metagenomic data, the volume of which is continuously increasing due to the development of sequencing technologies. Traditional methods such as cloud computing and supercomputing face limitations such as high latency, network dependency, high costs and data security risks. Alternatively, fog computing and hybrid architectures are proposed to distribute the computational load between local devices and cloud systems. This reduces latency, optimizes costs and improves data security. The paper analyzes the advantages of fog computing in metagenomic data analysis, compares it with traditional methods and suggests ways to implement this technology in bioinformatics. The results show that fog computing systems and hybrid systems are promising solutions for applications requiring fast analysis and high data security, such as medical diagnostics and environmental monitoring. The complexity of integrating and managing distributed systems 2025 IEEE. Subject The topic of the resource Bioinformatics; Cloud Computing; Data Analytics; Fog Computing; Hybrid Architectures; Metagenomic Data Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833152118-9; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online