Event Details

Call for Papers March 3, 2020


CFP 1st International Workshop on Next Generation Information Systems: Modeling, Monitoring and Management in Cloud and  Fog Computing (NeGIS 2020 (Co-located with CAiSE'20)

Date: June 9, 2020

Location: Grenoble, France

Workshop website: www.negis.polimi.it

Workshop mail account: negis2020@easychair.org

Workshop twitter account: @ <https://twitter.com/EnBIS2016>NeGIS_workshop





The amount of data and services supported by Information Systems (ISs) has increased exponentially during the last few years. To improve their

efficiency and reduce costs, modern organizations have been shifting their services, with part of their ISs, to the Cloud. More recent developments have shown an inversion towards the decentralization and distribution of applications and services in the huge pool of devices and computing facilities available nearer to the customers. This shift is due to the impact of the Internet of Things, which is further increasing the amount of data to be stored and computed. Fog Computing is the last frontier for ISs, where data and services can be moved in the continuum of resources between the cloud and the edge.


In this workshop, we aim to collect contributions investigating issues related to the management of cloud and fog computing in modern information systems with a focus, but not limited, on energy efficiency, security, and privacy, their relations and the trade-off with other requirements such as response time and throughput. In doing so, we are considering both the application components of the information system with their complexity, as well as the management of the data used by such applications. We also consider the impact of the human in the loop, looking at how the awareness and the behaviors of users and designers in socio-technical systems can affect the effective adoption of energy and security policies.


Topics include but are not limited to:


  • Modelling Cloud and Fog computing solutions for modern Information Systems
  • Monitoring and Managing Information Systems in Cloud and Fog Computing
  • Models, methods, and tools for data management in Cloud and Fog Computing
  • Energy-awareness and sustainability in Information Systems: metrics and measurements
  • Quality of Service, energy efficiency and security in Mobile Edge Computing
  • Methodologies and tools for energy efficiency and security compliance in Cloud and Fog computing
  • Adaptive approaches to manage energy consumption, QoS, and security of applications and systems
  • Energy and Security aware blockchain solutions
  • Energy and security requirements in Information Systems and Socio-Technical Systems Energy and security behaviors in Socio-Technical Systems


Negis2020 will be co-located in Grenoble with the 32nd International

Conference on Advanced Information Systems (CAISE'20, 8-12 June 2020).




The best paper will be considered for publication in a high-level international journal. To be selected the paper must include a validation of the proposed approach. The authors of the paper selected as the best paper will have to provide an extended version for submission to a fast evaluation track.




  1. Abstract submission: 20th February 2020
  2. Full paper submissions: 26th February 2020
  3. Notification of acceptance: 1st April 2020
  4. Camera-ready copies: 7th April 2020
  5. Workshop: 9th June 2020




Submission site: https://easychair.org/conferences/?conf=caise2020


The workshop is addressed to researchers with a strong background in the field of Modeling, Monitoring and Management of information systems in Cloud and Fog Computing. Contributions will be evaluated for their relevance to the workshop topics and will be blind reviewed by at least

three PC members. The workshop will be divided into two main parts. In the first part, authors of accepted papers will present their work. This part will be divided into sessions according to the topics emerged from the contributions. The second part will be a round table for discussing issues and solutions, aiming at enhancing collaboration.


Contributions are accepted in the form of:


  • Full Papers describe original solutions (theoretical, methodological or conceptual) in the field of sustainable IS engineering.
  • *S*hort Papers describe an initial approach towards an innovative ea in the field of sustainable IS engineering.


Papers should be submitted in PDF format. The results described must be unpublished and must not be under review elsewhere. Submissions must conform to Springer’s LNBIP format and should not exceed 12 pages (6 pages for short papers), including all text, figures, references, and appendices.


Authors should consult Springer’s authors' guidelines and use their proceedings templates, either for LaTeX or Word, for the preparation of

their papers. Springer encourages authors to include their ORCIDs <https://goo.gl/hbsa4D> in their papers. In addition, the corresponding

author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.




Workshop Chairs:


  • Monica Vitali, Umeå University, Sweden
  • Mattia Salnitri Politecnico di Milano, Italy
  • Ting Li Beijing University of Technology, China


Program Committee:


  • Marco Aiello, University of Stuttgart, Germany
  • Achim Brucker, University of Exeter, UK
  • Georges Da Costa, IRIT, University of Toulouse, France
  • Vasiliki Diamantopoulou, University of the Aegean, Greece
  • Christina Herzog, IRIT, University of Toulouse, France
  • Carlo Mastroianni, ICAR-CNR, Italy
  • Giovanni Meroni, Politecnico di Milano, Italy
  • Haris Mouratidis, University of Brighton, UK
  • John Mylopoulos, University of Ottawa, Canada
  • Anne-Cécile Orgerie, CNRS - IRISA, France
  • Per-Olov Östberg, Umeå University, Sweden
  • Elda Paja, IT University of Copenhagen, Denmark
  • Michalis Pavlidis, University of Brighton, UK
  • Jean-Marc Pierson, Paul Sabatier University, France
  • Pierluigi Plebani, Politecnico di Milano, Italy
  • Patricia Stolf,  IRIT, University of Toulouse, France
  • Haiyang Yu, Beijing University of Technology, China




Workshop website: www.negis.polimi.it

Workshop mail account: negis2020@easychair.org

Workshop twitter account: @ <https://twitter.com/EnBIS2016>NeGIS_workshop




Call for Papers March 3, 2020

Event:1th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART)

Date June 17-19

Location: Paderborn, Germany

Website: https://heart2020.uni-paderborn.de

Twitter: @heart_symp


The International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART) is a forum to present and discuss new research on  computing systems utilizing acceleration technology. The main theme of HEART is achieving high efficiency with accelerators, which is of utmost importance across a wide spectrum of computing systems. In the high performance computing and data center domains, high efficiency mostly relates to performance, while in the mobile and IoT space research communities think about accelerators more from a power/energy perspective. HEART 2020 will focus on high  efficiency as a cross-cutting issue and asks for contributions in the following areas:


  • Architectures for Efficient Acceleration
  • Novel systems/platforms based on FPGA, GPU, and other devices
  • Heterogeneous processor architectures and systems for high-performance and/or low-power
  • Domain-specific architectures


  • Design Methods and Tools for Efficient Acceleration
  • Programming paradigms, languages, and frameworks
  • High-level synthesis and compilers
  • Runtime methodologies for heterogeneous systems
  • Performance evaluation and analysis


  • Applications and Systems
  • Application examples that benefit from efficient acceleration to a great extent
  • Complete systems demonstrating increased energy efficiency and/or performance
  • Comparisons between accelerator technologies


In order to set a basis for discussions on the cross-cutting nature of acceleration technology, HEART 2020 will feature two special sessions on highly efficient accelerators in the domains of

  1. High-performance Computing / Data Center / Cloud
  2. Mobile Systems / Edge Computing / Internet of Things


Prospective authors are invited to submit original contributions as 6-page papers to be considered as regular papers or 4-page papers to be considered as poster papers. Since a double-blind review process will be used, authors should not identify themselves, so author names, affiliations, e-mail addresses and self-references should be blanked out. Papers that appeared previously as preprints on arXiv or similar are welcome and do not violate the double-blind review policy. The version submitted to HEART 2020 should however by anonymized. All contributions must be submitted electronically in PDF format (two columns, US letter size, single-spacing, 10 points for main body text). Accepted papers will be published in the ACM International Conference Proceedings Series (ICPS) and will appear in the ACM digital library. Each accepted paper MUST have at least one author with a regular registration for the manuscript to be included and published in the proceedings. Authors are also expected to attend and present their paper(s) at the symposium.


PhD Forum


PhD students working in areas relevant to HEART 2020 are solicited to submit an extended abstract of up to 2 pages comprising a summary of their research findings, work in progress and/or planned research. The PhD Forum is intended as a platform for PhD students to interact with peers as well as experienced researchers. The forum will be organized as a poster session and will include a 5 minutes oral introduction by each student. The PhD student should be the first author, thesis advisors may be coauthors. Submission will be reviewed to ensure quality and relevance. Authors of accepted submissions are expected to attend HEART 2020 and present their poster. The accepted extended abstracts will also appear in the conference proceedings.


Keynote Speakers

Prof. Jack Dongarra, University of Tennessee, Knoxville, USA: «Using Mixed Precision in Numerical Computation»


Important Dates and Deadlines

Paper submission (all categories): February 14, 2020 AOE (no extension)

Acceptance notification: March 27, 2020

Final paper submission: April 24, 2020

HEART pre-symposium workshops/tutorials: June 17, 2020

HEART symposium: June 18-19, 2020


General Chair

Christian Plessl, Paderborn University


Program Co-Chairs

Paul Chow, University of Toronto

Platzner Marco, Paderborn University


Call for Papers: Deadline March 1, 2020

Event:1st ISC HPC International Workshop on “Monitoring and Operational Data Analytics” (MODA)

Date: June  25, 2020

Location: Frankfurt, Germany

Website: https://moda20.sciencesconf.org/


1. Workshop scope


The race to Exascale poses significant challenges for the collection and analysis of the vast amount of data that future HPC systems will produce, in terms of the increasing complexity of the machines, the scalability and intrusiveness of the adopted monitoring solution, and the interpretability and effective inference driven by the acquired data. The main scope of the 1st ISC-HPC International Workshop on Monitoring and Operational Data Analytics (MODA) is to provide insight into current trends in MODA, to identify potential gaps, and to offer an outlook into the future of the involved fields high performance-computing, databases, machine learning, and possible solutions for upcoming Exascale systems. Contributions matching the scope of the workshop will be related to:

  1. Currently envisioned solutions and practices for monitoring systems at data centers and HPC sites. Significant focus will be placed on operational data collection mechanisms respectively i) covering different system levels, from building infrastructure sensor data to CPU-core performance metrics, and ii) targeting different end-users, from system administrators to application developers and computational scientists.
  2. Effective strategies for analyzing and interpreting the collected operational data.

Such strategies should particularly include (but are not limited to) different visualization approaches and machine learning-based techniques, potentially inferring knowledge of the system behavior and allowing for the realization of a proactive control loop.

This workshop is not targeting new solutions proposed in the context of application performance modeling and/or application performance analysis tools. Novel contributions in the area of compiler analysis, debugging, programming models and/or sustainability of scientific software are also considered out of the scope of the workshop.

MODA is becoming common practice at various international HPC sites. However, each site adopts a different, insular approach, rarely adopted in production environments and mostly limited to the visualization of system and building infrastructure metrics for health check purposes. In this regard, we observe a gap between the collection of operational data and its meaningful and effective analysis and exploitation, which prevents the closing of the feedback loop between the monitored HPC system, its operation, and its end-users. Under these premises, the goals of the workshop can then be summarized in the following way:

  1. Gather and share knowledge and establish a common ground within the international community with respect to best practices in monitoring and operational data analytics.
  2. Discuss future strategies and alternatives for MODA, potentially improving existing solutions and envisioning a common baseline approach in HPC sites and data centers.
  3. Establish a debate on the usefulness and applicability of AI techniques on collected operational data for optimizing the operation of production systems (e.g. for practices such as predictive maintenance, runtime optimization, optimal resource allocation and scheduling).

1.1 Topics of interest

The contributions submitted to MODA will ideally address:

  • State-of-the-practice method, tools, techniques in monitoring at various HPC sites
  • Solutions for monitoring and analysis of operational data that work very well on large- to extreme-scale systems with a large number of users
  • Solutions that have proven limitations in terms of efficiency of operational data collection  in real-time or in terms of the quality of the collected data
  • Opportunities and challenges of using machine learning methods for efficient monitoring and analysis of operational data
  • Integration of monitoring and analysis practices into production system software (energy and resource management) and runtime systems (scheduling and resource allocation)
  • Discuss explicit gaps between operational data collection, processing, effective analysis, highly useful exploitation, and propose new approaches to closing these gaps for the benefit of improving HPC centre planning, operations, and research
  • Other monitoring and operational data analysis challenges and approaches (data storage, visualization, integration into system software, adoption)

1.2 Submission and publication

We will solicit original contributions in the form of original papers (6-12 pages) which will be peer-reviewed by the program committee members. All accepted papers will be presented during the workshop. We aim at a minimum of 4 and a maximum of 8 accepted papers, for the 8 x 30 minutes slots in the tentative workshop program (see Section 4).

We will publish the workshop papers together with the ISC 2020 proceedings, including an abstract of the keynote and invited talks, and a short white paper of the panel session.

High quality contributions may be considered for a full-length submission to a special journal issue in collaboration with ParCo, CPE, or other journals.

Papers should be submitted through the online system at https://moda20.sciencesconf.org, by navigating to the top right side of the page and creating an account by clicking on the downward arrow near the “Login” box.

Deadline: March 1, 2020 (AoE)

Notification: April 6, 2020.

2. Committee

2.1 Workshop organizing committee

  1. Florina Ciorba (florina.ciorba@unibas.ch) – University of Basel, Switzerland
  2. Nicolas Lachiche (nicolas.lachiche@unistra.fr) - University of Strasbourg, France
  3. Aurélien Cavelan (aurelien.cavelan@unibas.ch) - University of Basel, Switzerland
  4. Daniele Tafani (Daniele.Tafani@lrz.de) - Leibniz Supercomputing Centre, Germany
  5. Utz-Uwe Haus (utz-uwe.haus@hpe.com) - HPE EMEA Research Lab, Switzerland

2.2 Technical program committee

  1. Andrea Bartolini (a.bartolini@unibo.it) - University of Bologna, Italy
  2. Valeria Bartsch (valeria.bartsch@itwm.fraunhofer.de) - Fraunhofer ITWM Kaiserslautern, Germany
  3. Norm Bourassa (njbourassa@lbl.gov) - NERSC LBNL, USA
  4. Jim Brandt (brandt@sandia.gov) - Sandia National Labs, USA
  5. Rubén Cabezón (ruben.cabezon@unibas.ch) - sciCORE, University of Basel, Switzerland
  6. Carlo Cavazzoni (c.cavazzoni@cineca.it) - CINECA, Italy
  7. Todd Gamblin (tgamblin@llnl.gov) - LLNL, USA
  8. Thomas Ilsche (thomas.ilsche@tu-dresden.de) - Technische Universität Dresden, Germany
  9. Jacques-Charles Lafoucriere (Jacques-Charles.LAFOUCRIERE@CEA.FR) -- CEA, France
  10. Erwin Laure (erwinl@pdc.kth.se) - KTH, Sweden
  11. Fiilippo Mantovani (filippo.mantovani@bsc.es) - BSC, Spain
  12. Ariel Oleksia (ariel@man.poznan.pl) - Poznan Supercomputing Center, Poland
  13. Melissa Romanus (MRomanus@lbl.gov<) - NERSC LBNL, USA
  14. Karthee Sivalingam (karthee.sivalingam@hpe.com) - HPE EMEA Research Lab, UK
  15. Heiko Schuldt (heiko.schuldt@unibas.ch) - University of Basel, Switzerland
  16. Martin Schulz (schulzm@in.tum.de) - TU Munich / Leibniz Supercomputing Centre, Garching, Germany
  17. Keiji Yamamoto (keiji.yamamoto@riken.jp) - RIKEN, Japan

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