Device Performance Analysis of Cloud Computing Data Center Two-Layer Interconnection Model Based on MPLS/IP Core Backbone Network

2014 ◽  
Author(s):  
Hanmin Ye ◽  
Zihang Song ◽  
Qianting Sun
Keyword(s):  
Cloud Computing ◽  
Performance Analysis ◽  
Data Center ◽  
Device Performance ◽  
Ip Core ◽  
Backbone Network ◽  
Model Based

scholarly journals Secured data center model based on cloud computing technology

2016 ◽  
Vol 18 (2) ◽  
Author(s):  
Оксана Сергіївна Коваль ◽  
Сергій Сергійович Бондаровець ◽  
Сергій Олександрович Гнатюк
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Computing Technology ◽  
Model Based ◽  
Secured Data

A Cloud Computing Architectural Model Based on Virtual Machine Pool

2013 ◽  
Vol 798-799 ◽  
pp. 668-671
Author(s):  
Wu Xue Jiang ◽  
Hui Hu ◽  
Peng Fei Yin ◽  
Jian Feng Luo
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Practice Research ◽  
Application Development ◽  
Architecture Model ◽  
Computing Platform ◽  
Computing Model ◽  
Model Based ◽  
New Type ◽  
Cloud Computing Platform

Cloud computing is a new-type of computing model. This paper deeply expounded the key technology of virtualization and cloud computing through theoretical analysis and practice research on cloud computing and its architecture. Then, it proposed a common cloud computing architecture model based on virtual environment, which consisted of layers of data center, cloud file system, computing model, data management, and application development. In addition, it realized a cloud computing platform based on Hadoop.

Performance Analysis of Web Applications Working on Cloud Environment Using Workload Prediction Model Based on ANN

2018 ◽  
Vol 6 (6) ◽  
pp. 55
Author(s):  
Supreet Kaur Sahi ◽  
V. S. Dhaka
Keyword(s):  
Cloud Computing ◽  
Performance Analysis ◽  
Prediction Model ◽  
Capacity Planning ◽  
Web Applications ◽  
Paper Analysis ◽  
Cloud Environment ◽  
Estimation Model ◽  
Workload Prediction ◽  
Model Based

Cloud computing is good fit for deployment of different applications but workload and instances requirement will vary depending upon type of applications. Workload estimation of cloud computing is tedious task.  In cloud computing number of instances of cloud need to be reserved based on certain parameters. If these instance are under estimated then performance of system will reduce and if over estimated then cost will increase. In order to optimize this cost there must be some algorithm working that can help in reserving number of instances based on certain parameters. Web applications have unpredictable workload. Certain steps of capacity planning need to follow for predicting workload of web applications. This paper analysis performance of ANN based workload estimation model for web applications on cloud environment. A brief survey of literature is also presented to find out different parameters necessary for capacity planning of website.

PERFORMANCE ANALYSIS OF WRW BACKGROUND MODEL BASED GMM WITH OTHER ALGORITHMS FOR TRACKING HUMANS IN SURVEILLANCE VIDEOS

2018 ◽  
Vol 12 (4) ◽  
pp. 32
Author(s):  
SANTOSH DADI HARIHARA ◽  
KRISHNA MOHAN PILLUTLA GOPALA ◽  
LATHA MAKKENA MADHAVI ◽  
◽  
◽  
...  
Keyword(s):  
Performance Analysis ◽  
Background Model ◽  
Surveillance Videos ◽  
Model Based
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