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WSC 2017 - 9th Workshop on Scalable Computing (WSC'17)

Date2017-09-04 - 2017-09-07

Deadline2017-05-10

VenuePrague, Czech Republic Czech Republic

Keywords

Websitehttps://fedcsis.org/2017/wsc

Topics/Call fo Papers

The Workshop on Scale Computing (WSC) is a result of evolution in the world of computing. It originated (as Workshop on Large Scale Computing in Grids; LaSCoG) in 2005. Next, cloud computing became popular and, in response to this new trend, Workshop on Scalable Computing in Distributed Systems (SCoDiS) emerged. The two workshops (under a joint name LaSCoG-SCoDiS) have been organized till 2014 (information about past events can be found here). However, the world of large-scale computing continuously evolves. In particular, data-intensive computations (known as "Big Data") brough a completely new set of issues that have to be solved (in addition to those that exist since late 1990th and that still deserve our attention). Therefore we have decided to refresh the name of the event (to better represent the scope of interest). This is how the Workshop on Scalable Computing (WSC) came to being.
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, distributed computations
Architectures for large-scale computations (GPUs, accelerators, quantum systems, federated systems, etc.)
Data models for large-scale applications, simulations and systems
Large-scale distributed databases
Security issues for large-scale applications and systems
Load-balancing / intelligent resource management in large-scale applications, simulations and systems
Performance analysis, evaluation and prediction
Portals, workflows, services and collaborative research
Data visualization
On-demand computing
Virtualization supporting computations
Self-adaptive computational / storage systems
Volunteer computing
Scaling applications from small-scale to exa-scale (and back)
Computing for Big Data
Business applications
Grid / Cloud computing
Cloud / Grid computing architectures, models, algorithms and applications
Cloud / Grid security, privacy, confidentiality and compliance
Mobile Cloud computing
High performance Cloud computing
Green Cloud computing
Performance, capacity management and monitoring of Cloud / Grid configuration
Cloud / Grid interoperability and portability
Cloud / Grid application scalability and availability
Economic, business and ROI models for Cloud / Grid computing
Big Data cloud services

Last modified: 2016-11-06 22:48:53