Data stream processing (DSP) has emerged over the years as the reference paradigm for
the analysis of continuous and fast information flows, which often have to be processed with …

The present information age is characterized by an ever-increasing digitalization. Smart
devices quantify our entire lives. These collected data provide the foundation for data-driven …

Major cloud computing operators provide powerful monitoring tools to understand the
current (and prior) state of the distributed systems deployed in their infrastructure. While …

Data-driven intelligent applications in modern online services have become ubiquitous.
These applications are usually hosted in the untrusted cloud computing infrastructure. This …

Machine learning has become a critical component of modern data-driven online services.
Typically, the training phase of machine learning techniques requires to process large-scale …

IoT-enabled devices continue to generate a massive amount of data. Transforming this
continuously arriving raw data into timely insights is critical for many modern online services …

Approximate computing aims for efficient execution of workflows where an approximate
output is sufficient instead of the exact output. The idea behind approximate computing is to …

The rapid growth of demanding applications in domains applying multimedia processing
and machine learning has marked a new era for edge and cloud computing. These …

Trusted execution environment (TEE) such as Intel SGX relies on hardware protection and
can perform secure multi-party computation (MPC) much more efficiently than pure software …

Cross domain tracking has become the rule, rather than the exception, and scripts that
collect behavioral data from visitors across sites have become ubiquitous on the Web. The …