2022/12/16 by Bohan Zhao, Wenfei Wu, Zhao, Bohan +3 · 2 citations
Computer Science · Social Sciences · #Advanced Computing and Algorithms #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #Software-Defined Networks and 5G #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2212.08362
openalex publication_date 2022/12/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
People have shown that in-network computation (INC) significantly boosts performance in many application scenarios include distributed training, MapReduce, agreement, and network monitoring. However, existing INC programming is unfriendly to the normal application developers, demanding tedious network engineering details like flow control, packet organization, chip-specific programming language, and ASIC architecture with many limitations. We propose a general INC-enabled RPC system, NetRPC. NetRPC provides a set of familiar and lightweight interfaces for software developers to describe an INC application using a traditional RPC programming model. NetRPC also proposes a general-purpose INC implementation together with a set of optimization techniques to guarantee the efficiency of various types of INC applications running on a shared INC data plane. We conduct extensive experiments on different types of applications on the real testbed. Results show that using only about 5% or even fewer human-written lines of code, NetRPC can achieve performance similar to the state-of-the-art INC solutions.