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image of Optimizing Cloud Traffic Offloading and Cloudlet Resource Usage in Cloud-Integrated WOBAN (CIW)

Abstract

Background

Integration of cloud components in a wireless mesh network of Wireless-Optical Broadband Access Network (WOBAN) contributes to enhancing network performance.

Aim

This study aims to deploy the minimum cloudlets at the optimum location and to offload excess traffic from overloaded cloudlets to underloaded ones.

Objective

The objective of this study is to optimize cloudlet positioning and traffic offloading for cost-effective deployment, better resource utilization, reduced blocking probability, and lower delays.

Method

The proposed methodology introduces a Cluster-Based Heuristic Approach (CBHA) for efficient cloudlet placement along with a traffic offloading mechanism using a Customized Donkey-Smuggler Optimization (CDSO) to enhance the overall network performance.

Result

Simulations show the effectiveness of the proposed approach for resource utilization, blocking probability, delay, and cost.

Conclusion

The problem in position optimization of the cloudlet, along with traffic offloading, is solved using the proposed approaches to get better network performance in a cost-efficient manner.

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2025-01-06
2025-06-24

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Optimizing Cloud Traffic Offloading and Cloudlet Resource Usage in Cloud-Integrated WOBAN (CIW)
Bentham Science Publishers ; https://doi.org/10.2174/0123520965335968241120092223
/content/journals/raeeng/10.2174/0123520965335968241120092223
/content/journals/raeeng/10.2174/0123520965335968241120092223
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  • Article Type:     Research Article
Keywords: Cloud-integrated wireless optical broadband access network (CIW) ; traffic delay ; traffic offloading ; cloudlets ; resource utilization ; cloudlet placement

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