Low-latency I/O services are essential for latency-sensitive workloads when they co-run with
throughput-oriented workloads in cloud data centers. Although advanced SSDs such as Intel …

A modern datacenter server aims to achieve high energy efficiency by co-running multiple
applications. Some of such applications (eg, web search) are latency sensitive. Therefore …

With modern high-performance SSDs that can handle parallel I/O requests from multiple
tenants, fair sharing of block I/O is an essential requirement for performance isolation …

Cloud service providers improve resource utilization by co-locating latency-critical (LC)
workloads with best-effort batch (BE) jobs in datacenters. However, they usually treat an LC …

Cloud service providers improve resource utilization by co-locating latency-critical (LC)
workloads with best-effort batch (BE) jobs in datacenters. However, they usually treat multi …

Today's ultra-low latency SSDs can deliver an I/O latency of sub-ten microseconds. With this
dramatically shrunken device time, operations inside the kernel I/O stack, which were …

While virtualization helps to enable multi-tenancy in data centers, it introduces new
challenges to the resource management in traditional OSes. We find that one important …

I/O software stacks have evolved rapidly due to the growing speed of I/O devices-including
network adapters, storage devices, and accelerators-and the emergence of microservice …

Server consolidation via virtualization is an essential technique for improving infrastructure
cost in modern datacenters. From the viewpoint of datacenter operators, consolidation offers …

This paper presents Schedulable Kqueue (SKQ), a new design to FreeBSD Kqueue that
improves application tail latency and low-latency throughput. SKQ introduces a new …