Since their heyday the 1980s, distributed operating systems---spanning multiple
autonomous machines, yet appearing to the user as a single machine---have seen only …

Data-intensive systems are the backbone of today's computing and are responsible for
shaping data centers. Over the years, cloud providers have relied on three principles to …

The 2008 workshop on Large-Scale Distributed Systems and Middleware (LADiS)
addressed challenges facing tomorrow's datacenter. Over the course of three days …

Clusters of commodity servers have become a major computing platform, powering not only
some of today's most popular consumer applications—Internet services such as search and …

Today, distributed systems are typically designed to be largely asynchronous. Designers
assume that the network can drop or significantly delay messages at unpredictable times …

This paper examines disaggregated data center architectures from the perspective of the
applications that would run on these data centers, and challenges the abstractions that have …

Today, we are seeing two trends in the data center. On the one hand, applications are
becoming more fine-grained, driven by the recent trend of serverless computing and …

We believe datacenters can benefit from more focus on per-node efficiency, performance,
and predictability, versus the more common focus so far on scalability to a large number of …

This survey of heterogeneous computing systems will help in analyzing the technological
trends that will be at the basis of heterogeneous computing systems, highlighting the major …

Modern data centers host tens (if not hundreds) of thousands of servers and are used by
companies such as Amazon, Google, and Microsoft to provide online services to millions of …