Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Resource management for scientific applications on highly-elastic cloud infrastructures

2016/21/B/ST6/01497

Keywords:

cloud computing scientific applications optimization

Descriptors:

  • ST6_2: Computer systems, parallel/distributed systems, sensor networks, embedded systems, cyber-physical systems
  • ST6_12: Scientific computing, simulation and modelling tools

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Informatyki, Elektroniki i Telekomunikacji

woj. małopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Maciej Malawski 

Number of co-investigators in the project: 4

Call: OPUS 11 - announced on 2016-03-15

Amount awarded: 552 300 PLN

Project start date (Y-m-d): 2017-01-27

Project end date (Y-m-d): 2021-01-26

Project duration:: 48 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Laptop (18 000 PLN)

Information in the final report

  • Publication in academic press/journals (2)
  • Articles in post-conference publications (11)
  1. Serverless execution of scientific workflows: Experiments with HyperFlow, AWS Lambda and Google Cloud Functions
    Authors:
    Maciej Malawski, Adam Gajek, Adam Zima, Bartosz Balis, Kamil Figiela
    Academic press:
    Future Generation Computer Systems (rok: 2020, tom: 110, strony: 502-514), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.029 - link to the publication
  2. Performance evaluation of heterogeneous cloud functions
    Authors:
    Kamil Figiela, Adam Gajek, Adam Zima, Beata Obrok, Maciej Malawski
    Academic press:
    Concurrency and Computation: Practice and Experience (rok: 2018, tom: 30(23), strony: e.4792), Wydawca: John Wiley & Sons, Ltd.
    Status:
    Published
    DOI:
    10.1002/cpe.4792 - link to the publication
  1. Benchmarking Heterogeneous Cloud Functions
    Authors:
    Maciej Malawski, Kamil Figiela, Adam Gajek, Adam Zima
    Conference:
    Euro-Par 2017: 23rd International European Conference on Parallel and Distributed Computing, Santiago de Compostela, Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar) (rok: 2018, ), Wydawca: Springer
    Data:
    konferencja 28.08-1.09.2017
    Status:
    Published
  2. Serverless Containers – Rising Viable Approach to Scientific Workflows
    Authors:
    Krzysztof Burkat; Maciej Pawlik; Bartosz Balis; Maciej Malawski; Karan Vahi; Mats Rynge; Rafael Ferreira da Silva; Ewa Deelman
    Conference:
    2021 IEEE 17th International Conference on eScience (eScience) (rok: 2021, ), Wydawca: IEEE
    Data:
    konferencja 20-23 Sept. 2021
    Status:
    Published
  3. Challenges for Scheduling Scientific Workflows on Cloud Functions
    Authors:
    Joanna Kijak, Piotr Martyna, Maciej Pawlik, Bartosz Balis, Maciej Malawski
    Conference:
    11th IEEE International Conference on Cloud Computing, CLOUD 2018, San Francisco, CA, USA, (rok: 2018, ), Wydawca: IEEE Computer Society
    Data:
    konferencja 2-7.07.2018
    Status:
    Published
  4. Cloud infrastructure automation for scientific workflows
    Authors:
    Bartosz Balis, Michał Orzechowski, Krystian Pawlik, Maciej Pawlik and Maciej Malawski
    Conference:
    13th International Conference on Parallel Processing & Applied Mathematics (PPAM 2019) (rok: 2020, ), Wydawca: Springer
    Data:
    konferencja 2019-09-08-2019-09-11
    Status:
    Published
  5. Reducing Fragmentation on 3D Torus-based HPC Systems using Packing-based Job Scheduling and Job Placement Reconfiguration
    Authors:
    Kangkang Li, Maciej Malawski, Jarek Nabrzyski
    Conference:
    2017 IEEE 16th International Symposium on Parallel and Distributed Computing, Innsbruck (rok: 2017, ), Wydawca: IEEE
    Data:
    konferencja 3-6.07.2017
    Status:
    Published
  6. Transparent Deployment of Scientific Workflows across Clouds - Kubernetes Approach
    Authors:
    Michal Orzechowski, Bartosz Balis, Krystian Pawlik, Maciej Pawlik, Maciej Malawski
    Conference:
    2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, Zurich, Switzerland (rok: 2018, ), Wydawca: IEEE
    Data:
    konferencja 17-20.12.2018
    Status:
    Published
  7. Adaptation of Workflow Application Scheduling Algorithm to Serverless Infrastructure
    Authors:
    Maciej Pawlik, Pawel Banach and Maciej Malawski
    Conference:
    International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar'2019) in Conjunction with Euro-Par 2019 (rok: 2019, ), Wydawca: Springer
    Data:
    konferencja 2019-08-26-2019-08-30
    Status:
    Published
  8. Performance evaluation of parallel cloud functions
    Authors:
    Maciej Pawlik, Kamil Figiela, Maciej Malawski
    Conference:
    47th International Conference on Parallel Processing, Eugene, USA (rok: 2018, ), Wydawca: Univ. Oregon
    Data:
    konferencja 13-16.08.2018
    Status:
    Published
    DOI:
    link to the publication
  9. Foundations for Workflow Application Scheduling on D-Wave System
    Authors:
    Dawid Tomasiewicz, Maciej Pawlik, Maciej Malawski, Katarzyna Rycerz
    Conference:
    Computational Science – ICCS 2020 (rok: 2020, ), Wydawca: Springer
    Data:
    konferencja 15.06.2020
    Status:
    Published
  10. Topology-aware Job Allocation in 3D Torus-based HPC Systems with Hard Job Priority Constraints
    Authors:
    Kangkang Li, Maciej Malawski, Jarek Nabrzyski
    Conference:
    International Conference on Computational Science, ICCS 2017, Zurich (rok: 2017, ), Wydawca: Elsevier
    Data:
    konferencja 12-14.06.2017
    Status:
    Published
  11. Algorithms for scheduling scientific workflows on serverless architecture
    Authors:
    Marcin Majewski, Maciej Pawlik, Maciej Malawski
    Conference:
    2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (rok: 2021, ), Wydawca: IEEE
    Data:
    konferencja 44326
    Status:
    Published

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