Survey of Load Balancing Strategies in Fog-Cloud Architectures for IoT Integration

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Published: 2026-04-18
DOI: https://doi.org/10.15662/IJRPETM.2026.0902015
Keywords:
Fog Computing, CC, Fog-Cloud Architecture, Load Balancing, IoT, Real-Time Processing, Resource Allocation, Edge Computing, Latency Reduction, Scalability, QoS

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Dr. Puneet Garg
Associate Professor, Department of CSE-AI, KIET Group of Institutions, Delhi NCR, Ghaziabad, India

Abstract

The Internet of Things (IoT) innovations have experienced high growth and, therefore, generate a lot of real-time data, which requires processing frameworks with a considerable efficiency and scalability low latency system. Traditional cloud computing has many benefits, but it might not be able to meet the bandwidth and latency requirements of time-dependent Internet of Things devices. To solve these shortcomings, fog computing has come to redefine a related computing paradigm, which pushes computation and storage resources to network endpoints. Fog-cloud architecture, which combines fog with cloud, offers a hybrid capability that improves system scalability, responsiveness, and resource efficiency. Devices running on heterogeneous platforms gain greatly from IoT interaction with the cloud. Applications based on the Internet of Things produce vast amounts of data from various sensors. Decisions are made by analyzing this data. Nevertheless, use cases of IoT environments are dynamic and heterogeneous posing challenging issues in the distribution of work load in such a layered infrastructure. The provided study includes a thorough analysis of fog-cloud system load balancing solutions, including their categorization, performance metrics, and applicability. It also discusses many vital issues, including latency constraints, resource heterogeneity, energy efficiency, and provides future research meets the objectives of intelligent, adaptive, and context-sensitive load balancing in the next-generation IoT systems.

Article Details

Issue

Vol. 9 No. 2 (2026): International Journal of Research Publications in Engineering, Technology and Management

Section

Articles

How to Cite

Survey of Load Balancing Strategies in Fog-Cloud Architectures for IoT Integration. (2026). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 9(2), 595-604. https://doi.org/10.15662/IJRPETM.2026.0902015

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