Scheduling algorithm is an important step in cloud computing, which determines the effectiveness of the system. Focus on the business requirement of mimic common operating environment (MCOE), especially the incomplete...
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ISBN:
(纸本)9781728128658
Scheduling algorithm is an important step in cloud computing, which determines the effectiveness of the system. Focus on the business requirement of mimic common operating environment (MCOE), especially the incomplete consideration of load balancing and heterogeneous in traditional scheduling algorithms, this paper presents an entropy weight clustering scheduling (ewcs) algorithm, which combines the dynamic heterogeneous redundancy (DHR) architecture of mimetic defense theory and K-Means clustering of machine learning to complete the nodes selection on the cloud platform. This algorithm consists of four steps: risk value screening, load balancing, entropy weight calculation and clustering optimization. The simulation results show that the algorithm is reasonable and can serve MCOE well. It is also an effective attempt to apply machine learning method to scheduling problem.
Scheduling algorithm is an important step in cloud computing,which determines the effectiveness of the *** on the business requirement of mimic common operating environment(MCOE),especially the incomplete consideratio...
详细信息
Scheduling algorithm is an important step in cloud computing,which determines the effectiveness of the *** on the business requirement of mimic common operating environment(MCOE),especially the incomplete consideration of load balancing and heterogeneous in traditional scheduling algorithms,this paper presents an entropy weight clustering scheduling(ewcs) algorithm,which combines the dynamic heterogeneous redundancy(DHR) architecture of mimetic defense theory and K-Means clustering of machine learning to complete the nodes selection on the cloud *** algorithm consists of four steps:risk value screening,load balancing,entropy weight calculation and clustering *** simulation results show that the algorithm is reasonable and can serve MCOE *** is also an effective attempt to apply machine learning method to scheduling problem.
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