Designing and maintaining distributed systems remains highly challenging: there is a high-
dimensional design space of potential ways to distribute a system's sub-components over a …

The increasing popularity of both small and large private clouds and expanding public
clouds poses new requirements to data center (DC) architectures. First, DC architectures …

A central challenge of autonomic computing is to enable large-scale computing systems--
and the self-managing elements of which they are composed--to manage themselves in …

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 …

Consolidation of multiple applications on a single Physical Machine (PM) within a cloud data
center can increase utilization, minimize energy consumption, and reduce operational costs …

Very large data centers are very expensive (servers, power/cooling, networking, physical
plant.) Newer, geo-diverse, distributed or containerized designs offer a more economical …

Cloud data centers rely on virtualization to run a diverse set of applications. Container
technology allows for a more lightweight execution, in comparison with popular Virtual …

The evolution of technology is leading to a world where computational systems are made of
a huge number of components spread over a logical network: these components operate in …

Distributed systems are traditionally designed independently from the underlying network,
making worst-case assumptions (eg, complete asynchrony) about its behavior. However …

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