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.
@article{arxiv.2007.08622,
title = {Dagger: Towards Efficient RPCs in Cloud Microservices with Near-Memory Reconfigurable NICs},
author = {Nikita Lazarev and Neil Adit and Shaojie Xiang and Zhiru Zhang and Christina Delimitrou},
journal= {arXiv preprint arXiv:2007.08622},
year = {2020}
}