2020/09/28 by Xinyu Wu, Wu, Xinyu Crystal, T. S. Eugene Ng +1
Computer Science · #Cloud Computing and Resource Management #FOS: Computer and information sciences #Interconnection Networks and Systems #Networking and Internet Architecture (cs.NI) #Software-Defined Networks and 5G
paper · pdf · doi:10.48550/arxiv.2009.13446
openalex publication_date 2020/09/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Recent data center applications rely on lossless networks to achieve high network performance. Lossless networks, however, can suffer from in-network deadlocks induced by hop-by-hop flow control protocols like PFC. Once deadlocks occur, large parts of the network could be blocked. Existing solutions mainly center on a deadlock avoidance strategy; unfortunately, they are not foolproof. Thus, deadlock detection is a necessary last resort. In this paper, we propose DCFIT, a new mechanism performed entirely in the data plane to detect and solve deadlocks for arbitrary network topologies and routing protocols. Unique to DCFIT is the use of deadlock initial triggers, which contribute to efficient deadlock detection and deadlock recurrence prevention. Preliminary results indicate that DCFIT can detect deadlocks quickly with minimal overhead and mitigate the recurrence of the same deadlocks effectively. This work does not raise any ethical issues.