Based on the Predicted Blocking Virtual Machine Load Balancing Scheduling Strategy

2019 ◽  
pp. 67-72
Author(s):  
Youhui Jiang
Keyword(s):  
Load Balancing ◽  
Virtual Machine ◽  
Scheduling Strategy ◽  
Machine Load

scholarly journals Virtual Machine Load Balancing: State-of-the-Art and its Research Challenges

2015 ◽  
Vol 119 (15) ◽  
pp. 9-11
Author(s):  
Amit Yadav ◽  
Lalit Mohan Joshi ◽  
Archana Verma
Keyword(s):  
Load Balancing ◽  
Virtual Machine ◽  
State Of The Art ◽  
Research Challenges ◽  
Machine Load

A Virtual Machine Scheduling Strategy Based on Grouping Genetic Algorithm in Cloud Environment

2013 ◽  
Vol 411-414 ◽  
pp. 203-206
Author(s):  
Gang Jin ◽  
Peng Zhang ◽  
Lei Liu ◽  
Xiang Yu Meng
Keyword(s):  
Load Balancing ◽  
Virtual Machine ◽  
Data Center ◽  
Machine Scheduling ◽  
Utilization Rate ◽  
Resource Pooling ◽  
Scheduling Strategy ◽  
Physical Machine ◽  
Virtual Machine Scheduling ◽  
Dimensional Variable

With the emergence of cloud computing, data center is becoming resource pooling and the applications are becoming multi-tenant and heterogeneous which make the server resource load balancing problem become more and more important. In order to resolve contradiction between the heterogeneous applications and sharing resource pool, we think this problem as a multi-dimensional variable vector packing model. For the NP-hard feature, we design a virtual machine scheduling strategy and it resolve the data center resource balancing problem. The experiment indicated that the algorithm can reduce the number of open physical machine to get the most of it and it not affect the physical machine utilization rate and interior load balancing.

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