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Cost optimization strategy for dependent task offloading in vehicular edge computing
DOI:10.1016/j.asoc.2025.113441.png)
Abstract
En 中文
• Dependent task offloading in multi-server vehicle edge computing environment. • Offloading decision based on recurrent neural network algorithm. • Dynamic resource allocation based on computational resource blocks. • Experiments on real-world datasets demonstrate 4.23–10.99% cost reduction.
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W
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