We propose a data placement strategy based on Bayesian optimization algorithm, which can reasonably allocate storage capacity in the edge side.
A good data placement strategy can speed up data transmission, reduce the cost of data transmission, and then affect the overall running time and the cost of�...
We propose a data placement strategy based on Bayesian optimization algorithm, which can reasonably allocate storage capacity in the edge side.
We investigate its use on a benchmark of binary combinatorial optimization problems, the Maximum Satisfiability (MAXSAT) problem. We compare performance with�...
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2024. IIoT mobile business data placement strategy based on bayesian optimization algorithm. Z Shen, B Liu, X Xu, L Qi, F Dai, W Dou. 2022 IEEE 24th Int Conf�...
In this chapter, we will explore the use of Bayesian optimization algorithm (BOA) in the context of IIoT resource placement strategy. Resource deployment plays�...
The authors propose using a discrete particle swarm optimization algorithm with differential evolution (DE-DPSO) to distribute dataset during workflow�...
... IIoT mobile business data placement strategy based on bayesian optimization algorithm. In: IEEE 24th Int Conf on High Performance Computing and�...
This work proposes a data placement strategy based on Bayesian optimization algorithm, which can reasonably allocate storage capacity in the edge side.
This paper proposed an IIoT framework that integrates the physical and cyber layers with an industrial cloud database and CPS for massive data processing.
Missing: Business Placement