Automated Modeling of I/O Performance and Interference Effects in Virtualized Storage Systems
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6888816/6888817/06888845.pdf?arnumber=6888845
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Enabling Multi-tenancy on SSDs with Accurate IO Interference Modeling;Proceedings of the 2023 ACM Symposium on Cloud Computing;2023-10-30
2. Investigating Machine Learning Algorithms for Modeling SSD I/O Performance for Container-Based Virtualization;IEEE Transactions on Cloud Computing;2021-07-01
3. Weight-based strategy for an I/O-intensive application at a cloud data center;Concurrency and Computation: Practice and Experience;2018-05-25
4. Performance Assessment of Cloud Migrations from Network and Application Point of View;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2018
5. Design and implementation of an analytical framework for interference aware job scheduling on Apache Spark platform;Cluster Computing;2017-12-23
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