Recently, big data streams have become ubiquitous due to the fact that a number of
applications generate a huge amount of data at a great velocity. This made it difficult for …

Abstract As Big Data has undergone a transition from being an emerging topic to a growing
research area, it has become necessary to classify the different types of research and …

The application of big data in the energy sector is considered as one of the main elements of
Energy Internet. Crucial and promising challenges exist especially with the integration of …

Cloud services have recently started undergoing a major shift from monolithic applications,
to graphs of hundreds or thousands of loosely-coupled microservices. Microservices …

Modern computing systems are overwhelmingly designed to move data to computation. This
design choice goes directly against at least three key trends in computing that cause …

Persistent key-value stores are widely used as building blocks in today's IT infrastructure for
managing and storing large amounts of data. However, studies of characterizing real-world …

Today's systems are overwhelmingly designed to move data to computation. This design
choice goes directly against at least three key trends in systems that cause performance …

The need for scalable and efficient stream analysis has led to the development of many
open-source streaming data processing systems (SDPSs) with highly diverging capabilities …

Many modern and emerging applications must process increasingly large volumes of data.
Unfortunately, prevalent computing paradigms are not designed to efficiently handle such …

Aggressive memory density scaling causes modern DRAM devices to suffer from
RowHammer, a phenomenon where rapidly activating (ie, hammering) a DRAM row can …