Workload-driven coordination between virtual machine allocation and task scheduling

The current task scheduling is separated from the virtual machine (VM) allocation, which, to some extent, wastes resources or degrades application performance. The scheduling algorithm influences the demand of VMs in terms of service-level agreement, while the number of VMs determines the performanc...

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Veröffentlicht in:	Neural computing & applications Jg. 32; H. 10; S. 5535 - 5551
Hauptverfasser:	Xiao, Zheng, Wang, Bangyong, Li, Xing, Du, Jiayi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.05.2020 Springer Nature B.V
Schlagworte:	Advances in Parallel and Distributed Computing for Neural Computing Algorithms Artificial Intelligence Completion time Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Computer simulation Coordination Data acquisition Data Mining and Knowledge Discovery Genetic algorithms Greedy algorithms Image Processing and Computer Vision Markov chains Operators Optimization Performance degradation Probability and Statistics in Computer Science Resource utilization Response time Scheduling Task scheduling Virtual environments Workload Workloads Task scheduling Workload characteristic VM allocation Markov model
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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