Internet-of-Things (IoT) ecosystems tend to grow both in scale and complexity, as they
consist of a variety of heterogeneous devices that span over multiple architectural IoT layers …

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 …

Recent technological (eg, IoT, 5G), and economic (eg, UN 2030 Sustainable Development
Goals) developments have transformed the healthcare sector towards more personalized …

The Internet of Things (IoT) has become widespread around the world. Since a large
number of diverse devices, such as vehicles, household electrical appliances, smart …

The Internet of Things (IoT) presents a novel computing architecture for data management: a
distributed, highly dynamic, and heterogeneous environment of massive scale. Applications …

The arising Internet of Things (IoT) will require significant changes to current stream
processing engines (SPEs) to enable large-scale IoT applications. In this paper, we present …

The growing interest in reliable multi-party applications has fostered widespread adoption of
Byzantine Fault-Tolerant (bft) consensus protocols. Existing bft protocols need f more …

Data management systems will face several new challenges in supporting IoT applications
during the coming years. These challenges arise from managing large numbers of …

Many IoT applications found in cyber-physical systems, such as smart grids, must take
control actions in response to critical events, such as supply-demand mismatch, which …

Edge computing has gained momentum in recent years, as complementary to cloud
computing, for supporting applications (eg, industrial control systems) that require time …