An Experimental Study of Software Aging and Rejuvenation in Dockerd
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8890608/8893285/08893292.pdf?arnumber=8893292
Cited by 23 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. FOQL: Software Aging Determination and Rejuvenation Strategy Generation for Docker;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02
2. A novel multi-step-ahead approach for cloud server aging prediction based on hybrid deep learning model;Engineering Applications of Artificial Intelligence;2024-07
3. Software Aging and Rejuvenation in Microservices: A Systematic Literature Mapping;2023 18th Iberian Conference on Information Systems and Technologies (CISTI);2023-06-20
4. A Latency-Driven Availability Assessment for Multi-Tenant Service Chains;IEEE Transactions on Services Computing;2023-03-01
5. Robust Optimization Model for Primary and Backup Capacity Allocations against Multiple Physical Machine Failures under Uncertain Demands in Cloud;IEICE Transactions on Communications;2023-01-01
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