J
Jiaxin Cao
Researcher at Microsoft
Publications - 10
Citations - 641
Jiaxin Cao is an academic researcher from Microsoft. The author has contributed to research in topics: Network packet & Computer science. The author has an hindex of 6, co-authored 7 publications receiving 506 citations. Previous affiliations of Jiaxin Cao include University of Science and Technology of China.
Papers
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Proceedings ArticleDOI
Packet-Level Telemetry in Large Datacenter Networks
Yibo Zhu,Nanxi Kang,Jiaxin Cao,Albert Greenberg,Guohan Lu,Ratul Mahajan,David A. Maltz,Lihua Yuan,Ming Zhang,Ben Y. Zhao,Haitao Zheng +10 more
TL;DR: This work presents Everflow, a packet-level network telemetry system for large DCNs, and presents experiments that demonstrate Everflow's scalability, and shares experiences of troubleshooting network faults gathered from running it for over 6 months in Microsoft's DCNs.
Proceedings ArticleDOI
Per-packet load-balanced, low-latency routing for clos-based data center networks
Jiaxin Cao,Rui Xia,Pengkun Yang,Chuanxiong Guo,Guohan Lu,Lihua Yuan,Yixin Zheng,Haitao Wu,Yongqiang Xiong,David A. Maltz +9 more
TL;DR: Digit-Reversal Bouncing achieves perfect packet interleaving and results in smaller and bounded queues even when traffic load approaches 100%, and it uses smaller re-sequencing buffer for absorbing out-of-order packet arrivals.
Proceedings ArticleDOI
CrystalNet: Faithfully Emulating Large Production Networks
Hongqiang Harry Liu,Yibo Zhu,Jitu Padhye,Jiaxin Cao,Sri Tallapragada,Nuno P. Lopes,Andrey Rybalchenko,Guohan Lu,Lihua Yuan +8 more
TL;DR: CrystalNet is a cloud-scale, high-fidelity network emulator that runs real network device firmwares in a network of containers and virtual machines, loaded with production configurations and enables operators to detect many issues that could trigger significant outages.
Patent
Diagnosis of application performance problems via analysis of thread dependencies
TL;DR: In this article, a Performance Evaluator provides various techniques for tracking system events to diagnose root causes of application performance anomalies, where traces of system events involved in inter-thread interactions are collected at application runtime.
Journal ArticleDOI
Datacast: A Scalable and Efficient Reliable Group Data Delivery Service for Data Centers
Jiaxin Cao,Chuanxiong Guo,Guohan Lu,Yongqiang Xiong,Yixin Zheng,Yongguang Zhang,Yibo Zhu,Chen Chen,Ye Tian +8 more
TL;DR: The analysis reveals that Datacast congestion control works well with small cache sizes and causes few duplicate data transmissions, and introduces a simple soft-state based congestion control algorithm to address the scalability and efficiency issues of RGDD.