Abstract
In recent years, there has been a significant amount of research focused on predicting resources in order to enhance the performance of cloud systems. Many researchers believe that the more accurate the prediction, the more effective resource management will be in ensuring reliable performance. However, our study in this paper demonstrates that there is a gap between resource demand prediction and system performance. Furthermore, our experiment results have demonstrated that the accurate and fine-grained prediction helps to achieve a more reliable and efficient system performance, especially in CPU utilization rate.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2023 19th International Conference on Network and Service Management, CNSM 2023 |
| Editors | Raouf Boutaba, Prosper Chemouil, Noura Limam, Majid Ghaderi, Remi Badonnel, Vinicius Fulber-Garcia |
| Publisher | IEEE |
| Number of pages | 5 |
| ISBN (Electronic) | 978-3-903176-59-1 |
| ISBN (Print) | 979-8-3503-8108-5 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 19th International Conference on Network and Service Management (CNSM 2023): Network and Service Management in the Era of Generative AI and Digital Twins - Niagara Falls, Canada Duration: 30 Oct 2023 → 2 Nov 2023 http://www.cnsm-conf.org/2023/ |
Publication series
| Name | |
|---|---|
| ISSN (Print) | 2165-9605 |
| ISSN (Electronic) | 2165-963X |
Conference
| Conference | 19th International Conference on Network and Service Management (CNSM 2023) |
|---|---|
| Country/Territory | Canada |
| City | Niagara Falls |
| Period | 30/10/23 → 2/11/23 |
| Internet address |
Bibliographical note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).Research Keywords
- Resource Prediction
- System Management
- Cloud Performance