Energy-performance tradeoffs in IaaS cloud with virtual machine scheduling

2015 ◽  
Vol 12 (2) ◽  
pp. 155-166 ◽  
Author(s):  
Jiankang Dong ◽  
Hongbo Wang ◽  
Shiduan Cheng
Keyword(s):  
Virtual Machine ◽  
Machine Scheduling ◽  
Energy Performance ◽  
Virtual Machine Scheduling

A balanced virtual machine scheduling method for energy-performance trade-offs in cyber-physical cloud systems

2020 ◽  
Vol 105 ◽  
pp. 789-799 ◽  
Author(s):  
Xiaolong Xu ◽  
Xuyun Zhang ◽  
Maqbool Khan ◽  
Wanchun Dou ◽  
Shengjun Xue ◽  
...  
Keyword(s):  
Virtual Machine ◽  
Machine Scheduling ◽  
Energy Performance ◽  
Cloud Systems ◽  
Trade Offs ◽  
Scheduling Method ◽  
Virtual Machine Scheduling

Virtual Machines Scheduling Algorithm Based on Multi-Objective Optimization in Cloud Computing

2014 ◽  
Vol 1046 ◽  
pp. 508-511
Author(s):  
Jian Rong Zhu ◽  
Yi Zhuang ◽  
Jing Li ◽  
Wei Zhu
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Machine Scheduling ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Virtual Machine Scheduling ◽  
Set Up

How to reduce energy consumption while improving utility of datacenter is one of the key technologies in the cloud computing environment. In this paper, we use energy consumption and utility of data center as objective functions to set up a virtual machine scheduling model based on multi-objective optimization VMSA-MOP, and design a virtual machine scheduling algorithm based on NSGA-2 to solve the model. Experimental results show that compared with other virtual machine scheduling algorithms, our algorithm can obtain relatively optimal scheduling results.

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