@inproceedings{27e810d32c9d4d81b484a4394cb58ac7,
title = "Real-time IaaS cost model and estimation results for cloud PC Laboratory Service",
abstract = "IaaS is well known as a very cost effective computing service which enables required infrastructures to be rented on demand without ownership of real hardware. It is very suitable for price sensitive services due to pay-per-use style. Operators of such services would want to adjust utilization policy promptly by estimating costs for cloud infrastructures as soon as possible. However, instantaneous response is not possible due to that cloud service providers offer at least several hours delayed billing information. Our work proposes a real-time IaaS cost estimation model based on resource usages monitored by virtual machine instance. We had operated PC laboratory service on a public cloud during full semester to validate our suggested model. From our experiments, averaged disparity between estimation and actual cost is less than 5.2%.",
keywords = "CLABO, Cloud PC Laboratory Platform, IaaS Cost Estimation Model, Public Cloud",
author = "Cho, {Kyung Woon} and Hyokyung Bahn",
note = "Funding Information: This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. NRF-2016R1A6A3A11930295) Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; null ; Conference date: 08-10-2019 Through 10-10-2019",
year = "2019",
month = oct,
day = "8",
doi = "10.1145/3380678.3380686",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "14--18",
booktitle = "CECCC 2019 - 2019 International Communication Engineering and Cloud Computing Conference",
}