RR-Compound: RDMA-Fused gRPC for Low Latency and High Throughput With an Easy Interface

远程直接内存访问 计算机科学 吞吐量 接口(物质) 低延迟(资本市场) 延迟(音频) 并行计算 计算机硬件 操作系统 计算机网络 电信 气泡 最大气泡压力法 无线
作者
Liang Geng,Hao Wang,Jingsong Meng,Dayi Fan,Sami Ben-Romdhane,Hari Kadayam Pichumani,Vinay Phegade,X Zhang
出处
期刊:IEEE Transactions on Parallel and Distributed Systems [Institute of Electrical and Electronics Engineers]
卷期号:35 (8): 1488-1505
标识
DOI:10.1109/tpds.2024.3404394
摘要

Advanced data centers strive for high performance and throughput, which can be achieved through the desirable merits of Remote Procedure Call (RPC) programming model and the low latency of Remote Direct Memory Access (RDMA). However, despite the widespread availability of these software and hardware utilities, they have been utilized separately for their own applications in existing production systems for many years. Although researchers have attempted to develop RDMA-enabled RPC prototypes, they often face challenges such as API discrepancies and a lack of specific features for effective integration with major production software, rendering them incompatible. This industry R&D project aims to enhance the performance of gRPC, a widely utilized RPC framework in major companies, by integrating RDMA as an internal component. Our system solution, called, combines the simple user interface and other merits of gRPC with low latency for remote data accesses. RR-Compound is fully compatible with gRPC and can serve as a seamless replacement without altering existing applications. However, to achieve low latency, high throughput, and scalability for RR-Compound, several technical challenges in managing network connections and memory space utilization must be effectively addressed. To overcome the limitations of existing connection methods, we have developed a new method called BPEV that is independent of gRPC and applicable to all RDMA systems. We have also retained the asynchronous framework of gRPC, albeit with limited buffer space in RDMA memory management. In micro-benchmarks, RR-Compound outperforms mRPC - the state-of-the-art RPC framework for a large number of connections, achieving a 14.77% increase in throughput and a 42.55% reduction in latency. Subsequently, we compare RR-Compound with gRPC over IPoIB using two real-world applications: KV-Store and TensorFlow. RR-Compound achieves up to a 2.35x increase in throughput and reduces the average latency by 46.92%.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
Tao发布了新的文献求助30
1秒前
简单的初兰完成签到,获得积分10
1秒前
王富贵完成签到,获得积分10
1秒前
ghhu完成签到,获得积分10
1秒前
bksw_viycole完成签到,获得积分10
2秒前
余喆完成签到,获得积分10
2秒前
高贵芝麻完成签到,获得积分20
2秒前
angela完成签到,获得积分10
3秒前
缥缈的初阳完成签到,获得积分10
3秒前
咿呀完成签到,获得积分10
3秒前
无极微光的应助被洁净的半鬼采纳,获得20
4秒前
4秒前
英姑的应助被诗谙采纳,获得10
4秒前
4秒前
Dr.c发布了新的文献求助10
4秒前
5秒前
机智的邹邹完成签到 ,获得积分10
5秒前
EIEI完成签到,获得积分10
5秒前
隐形松完成签到,获得积分10
5秒前
西子完成签到,获得积分10
6秒前
62170023完成签到,获得积分10
6秒前
冷静冰棍完成签到 ,获得积分10
6秒前
7秒前
野性的行恶完成签到,获得积分10
7秒前
Ssyong完成签到,获得积分10
7秒前
7秒前
温暖的紫文完成签到,获得积分10
8秒前
152455发布了新的文献求助10
8秒前
NexusExplorer的应助被huhuan采纳,获得10
8秒前
zyl完成签到,获得积分10
8秒前
tszjw168发布了新的文献求助10
9秒前
9秒前
9秒前
诗谙完成签到,获得积分10
9秒前
9秒前
思絮完成签到 ,获得积分10
9秒前
WYH发布了新的文献求助10
10秒前
852的应助被婧婧采纳,获得10
10秒前
Gentoo_1完成签到,获得积分10
10秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Deformation and Fracture of the Lumbar Vertebral End Plate 500
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7802772
求助须知:如何正确求助?哪些是违规求助? 9336721
关于积分的说明 20482725
捐赠科研通 7394566
什么是DOI,文献DOI怎么找? 3326956
关于科研通互助平台的介绍 2474041
邀请新用户注册赠送积分活动 2345045