Optimizing Multi-Cloud CDN Deployment and Scheduling Strategies Using Big Data Analysis
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IEEE
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http://xplorestaging.ieee.org/ielx7/8031413/8034950/08034995.pdf?arnumber=8034995
Cited by 7 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. Survey on Task Scheduling Optimization Strategy under Multi-Cloud Environment;Computer Modeling in Engineering & Sciences;2023
2. Big Data Quality Models: A Systematic Mapping Study;Communications in Computer and Information Science;2021
3. Machine Learning Empowered Content Delivery: Status, Challenges, and Opportunities;IEEE Network;2020-11
4. A Bandwidth and Latency Based Replica Selection Mechanism for Data-Intensive Workflow Applications in the Multi-Cloud Environment;Proceedings of the Australasian Computer Science Week Multiconference;2020-01-29
5. A general AI-defined attention network for predicting CDN performance;Future Generation Computer Systems;2019-11
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