PeRF: Preemption-enabled RDMA Framework
Sugi Lee, Mingyu Choi, Ikjun Yeom, Younghoon Kim
Abstract
Remote Direct Memory Access (RDMA) provides high throughput, low latency, and minimal CPU usage for dataintensive applications. However, RDMA was initially designed for single-tenant use, and its application in a multitenant cloud environment poses challenges in terms of performance isolation, security, and scalability. This paper proposes a Preemption-enabled RDMA Framework (PeRF), which offers software-based performance isolation for efficient multitenancy in RDMA. PeRF leverages a novel RNIC preemption mechanism to dynamically control RDMA resource utilization for each tenant, while ensuring that RNICs remain busy, thereby enabling work conservation. PeRF outperforms existing approaches by achieving flexible performance isolation without compromising RDMA's bare-metal performance.
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