This paper delves into the realm of advanced optimization techniques for resource allocation in edge computing, an emerging field that promises to revolutionize the way we interact with technology. As edge computing pushes the computational tasks closer to the data source, it becomes crucial to efficiently allocate resources such as processing power, memory, and bandwidth to ensure optimal performance and responsiveness. The paper begins by providing an overview of the challenges faced in resource allocation in edge computing environments, including heterogeneity, dynamic workload, and limited infrastructure capabilities. It then proceeds to explore several advanced optimization techniques that have been developed to address these challenges. These techniques include heuristic-based approaches, metaheuristics, and machine learning algorithms, each offering unique advantages and limitations. The paper evaluates the performance of these methods through a comparative analysis and discusses their applicability in real-world scenarios. Furthermore, it highlights the importance of considering the trade-offs between computational efficiency, energy consumption, and latency in the design of resource allocation strategies. The findings of this study provide valuable insights for researchers and practitioners in the field of edge computing, offering a foundation for the development of more efficient and sustainable resource allocation frameworks.
Harris, M. Advanced Optimization Techniques for Resource Allocation in Edge Computing. Transactions on Applied Soft Computing, 2020, 2, 6. https://doi.org/10.69610/j.tasc.20200214
AMA Style
Harris M. Advanced Optimization Techniques for Resource Allocation in Edge Computing. Transactions on Applied Soft Computing; 2020, 2(1):6. https://doi.org/10.69610/j.tasc.20200214
Chicago/Turabian Style
Harris, Michael 2020. "Advanced Optimization Techniques for Resource Allocation in Edge Computing" Transactions on Applied Soft Computing 2, no.1:6. https://doi.org/10.69610/j.tasc.20200214
APA style
Harris, M. (2020). Advanced Optimization Techniques for Resource Allocation in Edge Computing. Transactions on Applied Soft Computing, 2(1), 6. https://doi.org/10.69610/j.tasc.20200214
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