# Dagger: Towards Efficient RPCs in Cloud Microservices with Near-Memory Reconfigurable NICs

arXiv: https://arxiv.org/abs/2007.08622 · HTML: https://mlsanity.com/paper/2007.08622/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Jul 2020.

## Built on by (most cited first, 1 of 1)

- [Efficient Tabular Data Preprocessing of ML Pipelines](https://mlsanity.com/paper/2409.14912/) (2024)

## Abstract (arXiv)

Cloud applications are increasingly relying on hundreds of loosely-coupled microservices to complete user requests that meet an applications end-to-end QoS requirements. Communication time between services accounts for a large fraction of the end-to-end latency and can introduce performance unpredictability and QoS violations. This work presents our early work on Dagger, a hardware acceleration platform for networking, designed specifically with the unique qualities of microservices in mind. The Dagger architecture relies on an FPGA-based NIC, closely coupled with the processor over a configurable memory interconnect, designed to offload and accelerate RPC stacks. Unlike the traditional cloud systems that use PCIe links as the NIC I/O interface, we leverage memory-interconnected FPGAs as networking devices to provide the efficiency, transparency, and programmability needed for fine-grained microservices. We show that this considerably improves CPU utilization and performance for cloud RPCs.