Howdah: Load Profiling via In-Band Flow Classification and P4
Author:
Affiliation:
1. Politecnico di Torino,Department of Control and Computer Engineering,Italy
2. Saint Louis University,Computer Science Department,USA
3. Futurewei Inc.,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9964474/9964490/09964510.pdf?arnumber=9964510
Reference32 articles.
1. Network traffic characteristics of data centers in the wild
2. PINT
3. P4
4. Dynamic load balancing without packet reordering
5. A New Framework and Protocol for Future Networking Applications
Cited by 3 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. Predictive Flow Load Profiling for Intelligent Network Routing Decisions;2023 14th International Conference on Network of the Future (NoF);2023-10-04
2. NAIL: A Network Management Architecture for Deploying Intent into Programmable Switches;IEEE Communications Magazine;2023
3. Load Profiling via In-Band Flow Classification and P4 With Howdah;IEEE Transactions on Network and Service Management;2023
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