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Review Article

A Comprehensive Review of Offloading Algorithms in Replicated Fog Computing Environments

Open Access Peer Reviewed Crossref DOI

Authors

  • Ashish Bagla1
  • Dr. Deepak Dagar2
  • Dr. Pratik Shrivastava3

1 Research Scholar, Department of Computer Science and Engineering, Shri Venkateshwara University, Gajraula, Uttar Pradesh, India. 2 Supervisor, Department of Computer Science and Engineering, Shri Venkateshwara University, Gajraula, Uttar Pradesh, India. 3 Assistant Professor, Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India.

Article Information

Published Online
May-August 2026
Pages
964-971
Article Type
Review Article
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Abstract

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This paper provides an in-depth review of computation offloading algorithms within replicated fog computing environments, a critical area for modern distributed systems. It delineates the foundational concepts of fog computing and data replication, exploring their architectures, characteristics, and inherent challenges. The paper then systematically examines various offloading mechanisms and objectives, categorizing state-of-the-art algorithms, including optimization-based, machine learning-driven, and dynamic resource management approaches. A significant focus is placed on the complex interplay between offloading and replication, particularly concerning data consistency, fault tolerance, resource heterogeneity, and security. Through an analysis of real-world applications and identified research gaps, this review aims to serve as a foundational resource for PhD researchers, guiding future investigations into more robust, efficient, and intelligent offloading strategies in highly dynamic and resource-constrained fog environments.

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