WSC 2019 - 10th Workshop on Scalable Computing (WSC'19)

The world of large-scale computing continuously evolves. The most recent addition to the mix comes from numerous data streams that materialize from exploding number of cheap sensors installed
“everywhere”, on the one hand, and ability to capture and study events with systematically increasing granularity, on the other. To address the needs for scaling computational and storage infrastructures, concepts like: edge, fog and dew computing emerged.
Novel issues in involved in “pushing computing away from the center” did not replace open questions that existed in the context of grid and cloud computing. Rather, they added new dimensions of complexity and resulted in the need of addressing scalability across more and more complex ecosystems consisting of individual sensors and micro-computers (e.g. Raspberry PI based
systems) as well as supercomputers available within the Cloud (e.g. Cray computers facilitated within the MS Azure Cloud).
Addressing research questions that arise in individual “parts” as well as across the ecosystem viewed from a holistic perspective, with scalability as the main focus is the goal of the Workshop on Scalable Computing. In this context, the following topics are of special interest (however, this list is not exhaustive).
Topics
Covered topics include (but are not limited to):
General issues in scalable computing
Algorithms and programming models for large-scale applications, simulations and systems
Large-scale symbolic, numeric, data-intensive, graph-oriented, distributed computations
Fault-tolerant and consensus techniques for large-scale computing
Resilient large-scale computing
Data models for large-scale applications, simulations and systems
Large-scale distributed databases
Load-balancing / intelligent resource management in large-scale applications, simulations and systems
Performance analysis, evaluation, optimization and prediction
Scientific workflow scheduling
Data visualization
On-demand computing
Virtualization supporting computations
Volunteer computing
Scaling applications from small-scale to exa-scale (and back)
Big data real-time computing / analytics
Economic, business and ROI models for large-scale applications
Emerging technologies for scalable computing
Cloud / Fog / Dew computing architectures, models, algorithms and applications
High performance computing in Cloud / Fog / Dew
Green computing in Cloud / Fog / Dew
Performance, capacity management and monitoring of Cloud / Fog / Dew configuration
Cloud / Fog / Dew application scalability and availability
Big Data cloud services
Architectures for large-scale computations (GPUs, accelerators, quantum systems, federated systems, etc.)
Self* and autonomous computational / storage systems