DocumentCode
3688418
Title
Forecasting cloud computing using double exponential smoothing methods
Author
Amol C. Adamuthe;Rajendra A. Gage;Gopakumaran T. Thampi
Author_Institution
Dept. of CSE, RIT, Rajaramnagar, MS, India
fYear
2015
Firstpage
1
Lastpage
5
Abstract
Cloud computing is one of the transformational technology in the computing world. This paper reports the cloud computing adoption curve using number of cloud providers as an indicator. Cloud computing providers offers three basic services namely, infrastructure as a service, platform as a service and software as a service. This paper shows results of medium term forecast of cloud computing providers using exponential smoothing methods. Cloud provider´s historical data follows a trend so double exponential smoothing methods (DES) are applied. Results shows that DES with two smoothing constants is better fitted than DES with one smoothing constant with respect to mean absolute deviation and root mean square error. Result shows that growth in IaaS providers is more than SaaS and PaaS.
Keywords
"Smoothing methods","Platform as a service","Software as a service","Market research","Time series analysis","Computational modeling"
Publisher
ieee
Conference_Titel
Advanced Computing and Communication Systems, 2015 International Conference on
Type
conf
DOI
10.1109/ICACCS.2015.7324108
Filename
7324108
Link To Document