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%.
|Title of host publication||CECCC 2019 - 2019 International Communication Engineering and Cloud Computing Conference|
|Publisher||Association for Computing Machinery|
|Number of pages||5|
|State||Published - 8 Oct 2019|
|Event||2019 International Communication Engineering and Cloud Computing Conference, CECCC 2019 - Prague, Czech Republic|
Duration: 8 Oct 2019 → 10 Oct 2019
|Name||ACM International Conference Proceeding Series|
|Conference||2019 International Communication Engineering and Cloud Computing Conference, CECCC 2019|
|Period||8/10/19 → 10/10/19|
Bibliographical noteFunding Information:
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. NRF-2016R1A6A3A11930295)
© 2019 Association for Computing Machinery.
- Cloud PC Laboratory Platform
- IaaS Cost Estimation Model
- Public Cloud