scholarly journals Deep learning-based multivariate resource utilization prediction for hotspots and coldspots mitigation in green cloud data centers

2021 ◽  
Author(s):  
Yashwant Singh Patel ◽  
Rishabh Jaiswal ◽  
Rajiv Misra
Keyword(s):  
Deep Learning ◽  
Resource Utilization ◽  
Data Centers ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
Green Cloud

Optimized Renewable Energy Use in Green Cloud Data Centers

2019 ◽  
pp. 314-330
Author(s):  
Minxian Xu ◽  
Adel N. Toosi ◽  
Behrooz Bahrani ◽  
Reza Razzaghi ◽  
Martin Singh
Keyword(s):  
Renewable Energy ◽  
Energy Use ◽  
Data Centers ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
Green Cloud

TAR Based Hotspot Prediction in Cloud Data Centres

2019 ◽  
Vol 11 (3) ◽  
pp. 1-22
Author(s):  
Anu Valiyaparambil Raveendran ◽  
Elizabeth Sherly Sherly
Keyword(s):  
Prediction Model ◽  
Resource Utilization ◽  
Data Centers ◽  
Linear Regression Analysis ◽  
Load Prediction ◽  
Bandwidth Utilization ◽  
Virtual Machine Migration ◽  
Cloud Data ◽  
Network Bandwidth ◽  
Cloud Data Centers

In this article, the authors studied hotspots in cloud data centers, which are caused due to a lack of resources to satisfy the peak immediate requests from clients. The nature of resource utilization in cloud data centers are totally dynamic in context and may lead to hotspots. Hotspots are unfavorable situations which cause SLA violations in some scenarios. Here they use trend aware regression (TAR) methods as a load prediction model and perform linear regression analysis to detect the formation of hotspots in physical servers of cloud data centers. This prediction model provides an alarm period for the cloud administrators either to provide enough resources to avoid hotspot situations or perform interference aware virtual machine migration to balance the load on servers. Here they analyzed the physical server resource utilization model in terms of CPU utilization, memory utilization and network bandwidth utilization. In the TAR model, the authors consider the degree of variation between the current points in the prediction window to forecast the future points. The TAR model provides accurate results in its predictions.

scholarly journals An Optimal Strategy for Resource Utilization in Cloud Data Centers

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 158095-158112
Author(s):  
Wenlong Ni ◽  
Yuhong Zhang ◽  
Wei W. Li
Keyword(s):  
Resource Utilization ◽  
Optimal Strategy ◽  
Data Centers ◽  
Cloud Data ◽  
Cloud Data Centers
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