Cloud services have recently started undergoing a major shift from monolithic applications,
to graphs of hundreds or thousands of loosely-coupled microservices. Microservices …

With the fast development of big data systems in recent years, a variety of open-source
benchmarks have been built to evaluate and compare the workloads on these systems, and …

Datacenter applications demand microsecond-scale tail latencies and high request rates
from operating systems, and most applications handle loads that have high variance over …

Multi-tenancy in modern datacenters is currently limited to a single latency-critical,
interactive service, running alongside one or more low-priority, best-effort jobs. This limits …

Machine learning inference is becoming a core building block for interactive web
applications. As a result, the underlying model serving systems on which these applications …

Datacenter systems and I/O devices now run at single-digit microsecond latencies, requiring
ns-scale operating systems. Traditional kernel-based operating systems impose an …

This paper focuses on the efficient scheduling on multicore systems of very fine-grain
networked tasks, which are the typical building block of online data-intensive applications …

Recent device hardware trends enable a new approach to the design of network server
operating systems. In a traditional operating system, the kernel mediates access to device …

The recently proposed dataplanes for microsecond scale applications, such as IX and
ZygOS, use non-preemptive policies to schedule requests to cores. For the many real-world …

Distributed applications use replication, implemented by protocols like Paxos, to ensure data
availability and transparently mask server failures. This paper presents a new approach to …