Data Allocation Strategy for Enterprise Internet of Things Based on Fog Computing

Xiaogang Chen; Dongmei Liu

doi:10.1504/ijwet.2027.10077073

March 17, 2026International Journal of Web Engineering and Technology

Data Allocation Strategy for Enterprise Internet of Things Based on Fog Computing

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Key Points

The aim is to develop a data allocation strategy that optimizes performance in enterprise IoT systems using fog computing.
Analysis of existing data allocation strategies
Development of a new framework utilizing fog computing
Simulations to compare efficiency of various allocation methods
Enhanced data processing efficiency observed with the new strategy
Improved latency reduction in data communication
Increased scalability for enterprise applications

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Implication

This research demonstrates an efficient data allocation strategy in IoT environments, suggesting improvements for enterprise applications.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69bb9357496e729e629816e7 https://doi.org/10.1504/ijwet.2027.10077073

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Data Allocation Strategy for Enterprise Internet of Things Based on Fog Computing

Key Points

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Implication

Abstract

Discussion

Cite This Study

Data Allocation Strategy for Enterprise Internet of Things Based on Fog Computing

Key Points

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Implication

Abstract

Discussion

Cite This Study

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