R, Yuvha and E, Sathiyamoorthy (2020) A Comparative study about Workload prediction from one time forecast with cyclic forecasts using ARIMA model for cloud environment. EAI Endorsed Transactions on Energy Web.
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Abstract
Auto-scaling systems help provisioning resources on demand which helps tap into the elastic nature of the cloud. The
applications hosted on the cloud tend to face workload surges which causes the response to be slow or denied. To tackle
provisioning resources on demand there are reactive and proac
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 13:33 |
| Last Modified: | 11 Apr 2026 23:02 |
| URI: | http://eprints.eai.eu/id/eprint/30413 |
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