Abstract Experiments on fusion plasmas produce high-dimensional data time series with ever increasing magnitude and velocity, but turn-around times for analysis of this have not kept up. For example, many tasks are often performed in a manual, ad-hoc manner some after an experiment. In article we introduce the DELTA framework that facilitates near real-time streaming big fast data. By measureme...

Processing in memory (PIM) is a new computing paradigm that stores the function values of some input modes lookup table (LUT) and retrieves their when similar are encountered (instead performing online calculations), which an effective way to save energy. In era Internet Things, processing massive data generated by front-end requires low-power real-time processing. This paper investigates energ...

Distributed multimedia streaming systems are increasingly popular due to technological advances, and numerous streaming services are available today. On servers or proxy caches, there is a huge scaling challenge in supporting thousands of concurrent users that request delivery of high-rate, time-dependent data like audio and video, because this requires transfers of large amounts of data throug...

An increasing number of scientific applications rely on stream processing for generating timely insights from data feeds of scientific instruments, simulations, and Internet-of-Thing (IoT) sensors. The development of streaming applications is a complex task and requires the integration of heterogeneous, distributed infrastructure, frameworks, middleware and application components. Different app...