Study on Predicting for Workload of Cloud Services Using Artificial Neural Network

被引：0
|
作者：
Sahi, Supreet Kaur [1 ]
Dhaka, V. S. [2 ]
机构：
[1] Jaipur Natl Univ, Jaipur, Rajasthan, India
[2] Jaipur Natl Univ, Dept CSE, Jaipur, Rajasthan, India
来源：
2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM) | 2015年
关键词：
ANN (Artificial Neural Network); E-Business; IaaS; Matlab Toolbox; and Simulation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In cloud computing virtual machines are kept on the cloud. Workload of cloud computing differ from one application to other. Load, network needs, bandwidth and other metrics for workload prediction depends upon different characteristics of applications. Different resources required by e-business based website can be acquired from cloud service providers. To find out the amount of cloud resources required for efficient workload management of e-business website is aim of this paper. This paper propose Artificial Neural Network based model for predicting workload of e-business website on cloud network. Simulation will be done using Matlab toolbox and data available on Amazon website will be used as sample data of model.
引用
收藏
页码：331 / 335
页数：5
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