[hpc-announce] FINAL CFP: 12th Workshop on Scalable Computing (WSC'22); HYBRID event (FedCSIS'22; IEEE #54150; CORE rank B; SCOPUS; 70 punktów MEiN)

Marcin Paprzycki marcin at amu.edu.pl
Sun Apr 24 11:26:56 CDT 2022



12th Workshop on Scalable Computing (WSC'22)

Organized within 2022 Federated Conference on Computer Science and 
Intelligence Systems (FedCSIS'22; IEEE #54150; CORE rank B; 70 punktów 
MEiN; HYBRID event)

************************** COVID-19 Information ************************

Conference will take place in Sofia Bulgaria, for those who will be able 
to make it there. For those who will not be able to reach Sofia, online 
participation will be made available.



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).

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 
- High performance computing in Cloud / Fog / Dew
- Green computing in Cloud / Fog / Dew
- Performance, capacity management and monitoring of Cloud / Fog / Dew 
- 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


* Krassimir Atanassov
Bulgarian Academy of Sciences, Sofia, Bulgaria

* Thomas Blaschke
University of Salzburg, Salzburg, Austria

* Chris Cornelis
Ghent University, Ghent, Belgium

* Franco Zambonelli
University of Modena e Reggio Emilia, Bologna, Italy


The Professor Zdzislaw Pawlak Awards are given in the following categories:

•	Best Paper Award (€600)
•	Young Researcher Paper Award (€400)
•	Industry Cooperation Award (€400)
•	International Cooperation Award (€400)

All papers accepted to FedCSIS 2022 are eligible to be considered as the 
award winners.

This award will be granted independently from awards given by individual 
FedCSIS events (Tracks and/or Technical Sessions).

Past Award winners can be found here: https://fedcsis.org/2022/zp_award


       • Authors should submit draft papers (as Postscript, PDF or 
MSWord file).
       • The total length of a paper should not exceed 10 pages IEEE 
style (including tables, figures and references). IEEE style templates 
are available here.
       • Papers will be refereed and accepted on the basis of their 
scientific merit and relevance to the workshop.
       • Preprints containing accepted papers will be published on a USB 
memory stick provided to the FedCSIS participants.
       • Only papers presented at the conference will be published in 
Conference Proceedings and submitted for inclusion in the IEEE Xplore® 
       • Conference proceedings will be published in a volume with ISBN, 
ISSN and DOI numbers and posted at the conference WWW site.
       • Conference proceedings will be indexed in BazEkon and submitted 
for indexation in: Thomson Reuters - Conference Proceedings Citation 
Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science 
Bibliography and Google Scholar
       • Organizers reserve right to move accepted papers between 
FedCSIS technical sessions.
       • Extended versions of selected papers presented during the 
conference will be published as Special Issue(s) of:
--- Scalable Computing; Practice and Experience journal
--- Journal of Network and Computer Applications (Elsevier, IF = 2.229)
--- other journal(s) to be announced later.


+ Paper submission (strict deadline): May 10, 2022, 23:59:59 (AoE; there 
will be no extension)
+ Position paper submission: June 7, 2022
+ Author notification: July 6, 2022
+ Final paper submission and registration: July 12, 2022
+ Payment (early fee deadline): August 2, 2022
+ Conference date: September 4-7, 2022

Please forward this announcement to your colleagues and associates who 
could be interested in it.


Barbosa, Jorge, University of Porto, Portugal
Camacho, David, Universidad Autonoma de Madrid, Spain
Carretero, Jesus
D'Ambra, Pasqua, IAC-CNR, Italy
Durillo, Juan, Leibniz Supercomputer of the Bavarian Academy of Sciences 
and Humanities, Germany
Garcia Valdez, Mario
Gordon, Minor, Software Development Consultant, United States
Gravvanis, George, Democritus University of Thrace, Greece
Grosu, Daniel, Wayne State University, United States
Holmes, Violeta, The University of Huddersfield, United Kingdom
Kalinov, Alexey, Cadence Design Systems, Russia
Kecskemeti, Gabor, Liverpool John Moores University, United Kingdom
Kitowski, Jacek, AGH University of Science and Technology, Department of 
Computer Science, Poland
Knepper, Richard, Indiana University, United States
Lang, Tran Van, Vietnam Academy of Science and Technology, Vietnam
Lastovetsky, Alexey, University College Dublin, Ireland
Margaritis, Konstantinos G., University of Macedonia, Greece
Nosovic, Novica, Faculty of Electrical Engineering, University of 
Sarajevo, Bosnia and Herzegovina
Pawłowski, Wiesław, University of Gdańsk, Poland
Prodan, Radu, University of Klagenfurt, Austria
Schikuta, Erich, University of Vienna, Austria
Schreiner, Wolfgang, Johannes Kepler University Linz, Austria
Shen, Hong, University of Adelaide, Australia
Telegin, Pavel, JSCC RAS, Russia
Tudruj, Marek, Inst. of Comp. Science Polish Academy of 
Sciences/Polish-Japanese Institute of Information Technology, Poland
Vazhenin, Alexander, University of Aizu, Japan
Wei, Wei, School of Computer science and engineering, Xi'an University 
of Technology, China
Wyrzykowski, Roman, Czestochowa University of Technology, Poland
Zavoral, Filip, Charles University, Czech Republic


Ganzha, Maria, Warsaw University of Technology, Poland
Gusev, Marjan, University Sts Cyril and Methodius, Macedonia
Paprzycki, Marcin, Systems Research Institute Polish Academy of 
Sciences, Poland
Petcu, Dana, West University of Timisoara, Romania
Ristov, Sashko, University of Innsbruck, Austria

Contact: wsc2022 at fedcsis.org

Ta wiadomość została sprawdzona na obecność wirusów przez oprogramowanie antywirusowe Avast.

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