Reproducibility is widely considered to be an essential requirement of the scientific process.
However, a number of serious concerns have been raised recently, questioning whether …

Data analysis often entails a multitude of heterogeneous steps, from the application of
various command line tools to the usage of scripting languages like R or Python for the …

The Chameleon testbed is a case study in adapting the cloud paradigm for computer
science research. In this paper, we explain how this adaptation was achieved, evaluate it …

Vehicular networks are networks of communicating vehicles, a major enabling technology
for future cooperative and autonomous driving technologies. The most important messages …

Nowadays, businesses aim to respond to customer needs at unprecedented speed. Thus,
many companies are rushing to the DevOps movement. DevOps is the combination of …

Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

Containerization, or OS-level virtualization has taken root within the computing industry.
However, container utilization and its impact on performance and functionality within High …

Performance variability has been acknowledged as a problem for over a decade by cloud
practitioners and performance engineers. Yet, our survey of top systems conferences …

Temporal graphs capture the development of relationships within data throughout time. This
model fits naturally within a streaming architecture, where new events can be inserted …

This article provides the motivation and overview of the Collective Knowledge Framework
(CK or cKnowledge). The CK concept is to decompose research projects into reusable …