From Data Center Resource Allocation to Control Theory and Back

2010 ◽  
Author(s):  
Xavier Dutreilh ◽  
Aurélien Moreau ◽  
Jacques Malenfant ◽  
Nicolas Rivierre ◽  
Isis Truck
Keyword(s):  
Resource Allocation ◽  
Control Theory ◽  
Data Center

Preference Based Resource Allocation In Cloud Data Center

2018 ◽  
Vol 6 (2) ◽  
pp. 287-292
Author(s):  
M.R. Dave ◽  
◽  
H.B. Patel ◽  
B. Shrimali ◽  
◽  
...  
Keyword(s):  
Resource Allocation ◽  
Data Center ◽  
Cloud Data Center ◽  
Cloud Data

Resource Allocation in Electrical/Optical Hybrid Switching Data Center Networks

2017 ◽  
Vol 9 (8) ◽  
pp. 648 ◽  
Author(s):  
Zhangxiao Feng ◽  
Weiqiang Sun ◽  
Jie Zhu ◽  
Junyi Shao ◽  
Weisheng Hu
Keyword(s):  
Resource Allocation ◽  
Data Center ◽  
Data Center Networks ◽  
Hybrid Switching

scholarly journals CAI method in Cloud services for user workload using Cloudsim framework

2019 ◽  
Vol 8 (4) ◽  
pp. 12622-12626
Keyword(s):  
Resource Allocation ◽  
Data Center ◽  
Cloud Service ◽  
Cloud Services ◽  
Time Data ◽  
Real Time Data ◽  
The Impact ◽  
System Designs ◽  
New System

In sighting the distinct patterns of processing capability in a cloud service is pedantic to enhance the resource management and operable conditions of the servers without compromising the Quality of Service is important. Simulations and models based on practicable parameters are required to understand the impact of the load on new system designs and policies. The proposed scheme and analysis provides a requirement for designing new systems which will be lessaffected by process loads. Classifying, analysis and improving (CAI) is done using real-time data center logs and simulations are done based on user requests and data center configurations. Simulations are created using cloudsim framework. Various simulations are done to provide a comprehensive result to improve the resource allocation for the system.

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