Datacenter operators today strive to support microsecond-latency applications while also
using their limited CPU resources as efficiently as possible. To achieve this, several recent …

Data serialization is critical for many datacenter applications, but the memory copies
required to move application data into packets are costly. Recent zero-copy APIs expose …

Responding to the" datacenter tax" and" killer microseconds" problems for memory-intensive
datacenter applications, diverse solutions including Smart NIC-based ones have been …

Computing demand continues to grow exponentially, largely driven by" big data" processing
on hyperscale data stores. At the same time, the slowdown in Moore's law is leading the …

Datacenter applications expect microsecond-scale service times and tightly bound tail
latency, with future workloads expected to be even more demanding. To address this …

Modern cloud services are implemented as graphs of loosely-coupled microservices to
improve programmability, reliability, and scalability. Service Level Objectives (SLOs) define …

Careful orchestration of requests at a datacenter server is crucial to meet tight tail latency
requirements and ensure high throughput and optimal CPU utilization. Orchestration is multi …

Computer systems designers are building cache hierarchies with higher capacity to capture
the ever-increasing working sets of modern workloads. Cache hierarchies with higher …

Online services are decomposed into fine-grained software components that communicate
over the network using fine-grained Remote Procedure Calls (RPCs). Inter-server …

Online services in modern datacenters use Remote Procedure Calls (RPCs) to
communicate between different software layers. Despite RPCs using just a few small …