`` No-hop: In-network Distributed Hash Tables"
Lily Hugerich, Apoorv Shukla, and Georgios Smaragdakis.
ACM/IEEE ANCS 2021.

Abstract:
We make a case for a distributed hash table lookup in the network data plane. We argue that the lookup time performance of distributed hash tables can be further improved via an in-network data plane implementation. To this end, we introduce No-hop, an in-network distributed hash table implementation, which leverages the data plane programmability at line rate gained from P4. Our initial results of transporting distributed hash table logic from hosts' user space to the fast path of switches in the network data plane are promising. We show that No-hop improves the performance of locating the responsible host and maintains the properties of distributed hash tables while outperforming two baselines.




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