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SYNASC - Distributed Track 2013 : 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing - Distributed Computing Track


When Sep 23, 2013 - Sep 26, 2013
Where Timisoara Romania
Abstract Registration Due Jun 23, 2013
Submission Deadline Jun 30, 2013
Notification Due Aug 4, 2013
Final Version Due Sep 8, 2013
Categories    distributed computing   cloud computing   parallel computing

Call For Papers

During the past 14 years SYNASC ( has built a strong nucleus of researchers which gather every year to discuss their ongoing research. The multidisciplinary nature of the conference brings together people from various computer science areas, including symbolic computing, numerical analysis, multi-agent systems, nature inspired processing and distributed/parallel computing. All these are hot topics in computer science and provide the attendees with the chance of uncovering interdisciplinary research ideas and concrete use cases for their work.

Among them, distributed computing, with an increasing interest in clouds and HPC on clouds, is in the unique position of being at the center of the scene. It allows researchers from various fields to extend their experiments and test their ideas on large scale infrastructures. In this frame the Distributed Computing track is a great opportunity for scientists working on topics related to clouds, grids, P2P, Internet of things or distributed systems in general to present their work, discover new challenges and find real use cases and applications for their research. With the global focus leaning towards (inter)cloud and utility computing researchers start to feel the benefit of these systems too. However we believe there is much to be done before existing applications from other fields can be fully ported on these new platforms. SYNASC and the Distributed Computing track is therefore a great opportunity for addressing the interdisciplinary applicability of distributed systems. We invite both researchers and practitioners to submit their work and join us in addressing these challenges.
Work-in-progress and mature research papers in the following non-exhaustive areas are welcomed:

- parallel and distributed algorithms for clouds, GPUs, HPC, P2P systems, autonomous systems. Work should focus on scheduling, scaling, load balancing, networks, fault-tolerance, gossip algorithms, energy saving;
- applications for parallel and distributed systems, including work on cross disciplinary (scientific) applications for grids/clouds, web applications, workflow platforms, network measurement tools, programming environments;
- architectures for parallel and distributed systems, including self-managing and autonomous systems, negotiation protocols, HPC on clouds, GPU processing, PaaS for (inter)cloud, brokering platforms, mobile computing;
- modelling of parallel and distributed systems including models on resources and networks, semantic representation, negotiation, social networks, trace management, simulators;
- any other topic deemed relevant to the field.

Paper submission should not exceed 8 IEEE double column format and should be submitted using the electronic EasyChair system ( Submitted work will benefit from a blind review of at least 3 experts in the area and will be judged based on their relevance to the track, novelty, clarity of text and future impact.

Prospective authors must demonstrate their intention of presenting their work by first submitting a 1/2 page abstract clearly indicating the main purpose and contributions of their paper.

Accepted papers will be available during the conference, however only presented papers will be included in the post-proceedings published by the IEEE Conference Publishing Service (indexed in ISI Web of Science, DBLP, SCOPUS).

A special issue for the distributed track is planned to be published with the Scalable Computing: Practice and Experience Journal. SCPE is a quarterly open access journal indexed in Scopus, DBLP, DOAJ and EBSCO. The journal is currently under ISI Thomson review. More information about it can be found at .

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