ItemConference Paper

Using Fog Computing to Accelerate Metagenomic Data Analysis

Title
Using Fog Computing to Accelerate Metagenomic Data Analysis
Creator
Bezuglova, Ekaterina; Kucherov, Nikolay; Lapina, Maria; Mary Anita, E.A.; Vinodha, D.; Sujatha, A.K.; Jenefa, J.
Description
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.
Source
Proceedings of 2025 IEEE International Conference on Contemporary Computing and Communications, InC4 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Bioinformatics; Cloud Computing; Data Analytics; Fog Computing; Hybrid Architectures; Metagenomic Data
Coverage
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
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833152118-9;
Format
online
Language
English
Type
Conference paper

Citation

Bezuglova, Ekaterina; Kucherov, Nikolay; Lapina, Maria; Mary Anita, E.A.; Vinodha, D.; Sujatha, A.K.; Jenefa, J., “Using Fog Computing to Accelerate Metagenomic Data Analysis,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/26162.

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