Andrzej Wilczyński

FastData: A symposium on the challenges of Big Data (and beyond) open to researchers, industrial stakeholders, students, and practitioners.

As planet evolves, an increasingly connected ecosystem of heterogeneous devices produces more volumes and variety of digital data. They range from devices-in-the-fog to insanely complicated machineries looking with ever increasing precision to “the Ultimate Question of Life, the Universe, and Everything”. To keep up with the pace, very large volumes of dynamically changing data ought to be processed, synthesised, and eventually turned into knowledge. High-velocity data brings high value, especially to volatile business processes, mission-critical tasks and scientific grand challenges. Some of this data loses its operational value in a short time frame, some other is simply too much to […]

16th IEEE International Conference on Scalable Computing and Communications

The 16th IEEE International Conference on Scalable Computing and Communications covers the different aspects related to communication networks, including design, queueing theory, performance analysis, communication protocols, distributed application deployment with emphasis on scalability. ScalCom 2016 deals also with modern computing systems for High Performance Computing (HPC) and High-Throughput Computing (HTC). The Conference covers particularly clusters, massively parallel systems and heterogeneous computing systems using multicore processors and computing accelerators like Graphics Processing Units (GPU) and Many Integrated Cores (MIC). Design and analysis of parallel algorithms is covered. New trends like mobile, pervasive, cloud computing and the convergence of communication and computing are also considered. Authors are encouraged to submit unpublished original research works in one […]

“Big Data Platforms and Applications. Methods, Techniques and Performance Evaluation” – invitation for chapters

Extracting valuable information from raw data is especially difficult considering the velocity of growing data from year to year and the fact that 80% of data is unstructured. In addition, data sources are heterogeneous (various sensors, users with different profiles, etc.) and are located in different situations or contexts. This is why the Smart City infrastructure runs reliably and permanently to provide the context as a “public utility” to different services. Context-aware applications exploit the context to adapt accordingly the timing, quality and functionality of their services. The value of these applications and their supporting infrastructure lies in the fact […]