{"id":1024431,"date":"2024-04-11T09:21:16","date_gmt":"2024-04-11T16:21:16","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/?post_type=msr-research-item&#038;p=1024431"},"modified":"2024-04-11T09:21:16","modified_gmt":"2024-04-11T16:21:16","slug":"harmonic-hardware-assisted-rdma-performance-isolation-for-public-clouds","status":"publish","type":"msr-research-item","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/harmonic-hardware-assisted-rdma-performance-isolation-for-public-clouds\/","title":{"rendered":"Harmonic: Hardware-assisted RDMA Performance Isolation for Public Clouds"},"content":{"rendered":"<p>Performance isolation is essential for sharing resources in multi-tenant public clouds. Compared with traditional kernel-based networking, RDMA presents unique challenges especially because RDMA NIC&#8217;s complex microarchitecture resources are often hidden from users. Current RDMA isolation methods overlook these microarchitecture resources, leading to insufficient performance isolation. Consequently, a faulty\/malicious tenant can exploit these microarchitecture resources to compromise well-behaved tenants&#8217; network performance. In this paper, we introduce the first microarchitecture-resource-aware RDMA performance isolation solution for public clouds, Harmonic. It consists of two key components designed to be conscious of the RDMA NIC&#8217;s microarchitectural resources: (1) a programmable intelligent PCIe switch (prototyped with FPGA) and (2) an RDMA-friendly rate limiter. At runtime, these two components allow us to accurately monitor and modulate the RDMA NIC resource usage per tenant. We evaluate Harmonic with a state-of-the-art RDMA performance isolation test suite (Husky) and a popular in-memory database application (Redis). We demonstrate that Harmonic can not only successfully pass Husky but also provide Redis with 1.4\u00d7 higher throughput than the best alternative isolation solution.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Performance isolation is essential for sharing resources in multi-tenant public clouds. Compared with traditional kernel-based networking, RDMA presents unique challenges especially because RDMA NIC&#8217;s complex microarchitecture resources are often hidden from users. Current RDMA isolation methods overlook these microarchitecture resources, leading to insufficient performance isolation. Consequently, a faulty\/malicious tenant can exploit these microarchitecture resources to 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