Distributed and Parallel Systems

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ITEC representation @IPDPS 2019, 33rd IEEE International Parallel and Distributed Processing Symposium

The prestigious 33rd IEEE International Parallel & Distributed Processing Symposium, IPDPS 2019 held at Rio de Janerio, Brazil (May 20-24 2019) found representation from ITEC department at UNI-KLU in a number of activities including paper and poster presentations, panel discussions etc. led by Prof. Radu Prodan, Josef Hammer, and Nishant Saurabh.

1. Panel discussion @PAISE 2019, the collocated workshop @IPDPS.

Prof. Radu Prodan led the panel discussion on emerging Blockchain, Parallel AI and Edge computing technology and paradigms at PAISE (Parallel AI and Systems for the Edge), collocated workshop at the prestigious 33rd IEEE International Parallel & Distributed Processing Symposium, IPDPS 2019 along with some renowned researchers including Pete Beckman (Argonne National Laboratory and the University of Chicago), Sandip Kundu (National Science Foundation), Tal Ben-Nun (ETH Zürich), and Ilkay Altintas (Chief Data Science Officer at the San Diego Supercomputer Center), moderated by Rajesh Sankaran (Argonne National Laboratory and the University of Chicago). Prof. Prodan highlighted disruptive scenarios, typically posed with the arrival of next generation technologies and introduced EU H2020 project ARTICONF coordinated by UNI-KLU to the audience in the light of the panel topics.

2. Workshop paper presentation @PAISE 2019, the collocated workshop @IPDPS to be published in IPDPSW proceedings.

Josef Hammer presented the workshop paper “Transparent Access to 5G Edge Computing Services” accepted for publication at 33rd IEEE International Parallel & Distributed Processing Symposium workshop, PAISE 2019.

Authors: Josef Hammer, Philipp Moll and Hermann Hellwagner

3. Conference paper presentation @IPDPS 2019 Cloud Computing session to be published in IPDPS proceedings.

Nishant Saurabh presented the conference paper “Semantics-aware Virtual Machine Image Management in IaaS Clouds” accepted for publication at 33rd IEEE International Parallel & Distributed Processing Symposium , IPDPS 2019.

Authors: Nishant Saurabh (Alpen-Adria Universität Klagenfurt), Julian Remmers (University of Innsbruck), Dragi Kimovski (Alpen-Adria Universität Klagenfurt), Radu Prodan (Alpen-Adria Universität Klagenfurt), Jorge G. Barbosa (LIACC, Faculdade de Engenharia da Universidade do Porto).

4. Poster presentation @IPDPS 2019 PhD Forum.

The ITEC representative members Josef Hammer and Nishant Saurabh presented respective posters amongst distinguished researchers. While, Josef’s poster titled “Transparent Access to 5G Edge Computing Services”, Nishant presented the poster on “Towards a semantic-centric VMI repository management”.

5. Session Chair @IPDPS 2019, Scheduling and Load balancing session.

Prof. Radu Prodan chaired the Scheduling and Load balancing session, which observed some interesting research works from all around the globe.

ipdps-2019

Prof. Radu Prodan
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Prof. Radu Prodan in editorial board of special issue on Large Scale Cooperative Virtual Environments in Journal of Grid Computing

Link to the Journal of Grid Computing special issue.

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Matthias Janetscheck completed his PhD at the University of Innsbruck with a thesis on a “Worfkflow Compiler for Manycores” under the supervision of Prof. Radu Prodan

Pictures from the Rigorosum with Prof. Thomas Fahringer and Prof. Justus Piater.

Matthias Janetscheck Defense Pic 1

Prof. Radu Prodan
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Univ.-Prof. DI Dr. Radu Prodan has been invited to be a part of panel discussion on emerging Blockchain and Edge computing technology and paradigms at PAISE (Parallel AI and Systems for the Edge)

Univ.-Prof. DI Dr. Radu Prodan has been invited to be a part of panel discussion on emerging Blockchain and Edge computing technology and paradigms at PAISE (Parallel AI and Systems for the Edge), collocated workshop at the prestigious 33rd IEEE International Parallel & Distributed Processing Symposium, IPDPS 2019 to be held at Rio de Janerio, Brazil (May 20-24 2019).

Nishant Saurabh
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The paper “Semantics-aware Virtual Machine Image Management in IaaS Clouds” has been accepted

The paper “Semantics-aware Virtual Machine Image Management in IaaS Clouds” has been accepted for publication at 33rd IEEE International Parallel & Distributed Processing Symposium , IPDPS 2019 to be held at Rio de Janerio, Brazil (May 20-24 2019).

Authors: Nishant Saurabh (Alpen-Adria Universität Klagenfurt), Julian Remmers (University of Innsbruck), Dragi Kimovski (Alpen-Adria Universität Klagenfurt), Radu Prodan (Alpen-Adria Universität Klagenfurt), Jorge G. Barbosa (LIACC, Faculdade de Engenharia da Universidade do Porto).

Abstract: Infrastructure-as-a-service (IaaS) Clouds concurrently accommodate diverse sets of user requests, requiring an efficient strategy for storing and retrieving virtual machine images (VMIs) at a large scale. The VMI storage management require dealing with multiple VMIs, typically in the magnitude of gigabytes, which entails VMI sprawl issues hindering the elastic resource management and provisioning. Nevertheless, existing techniques to facilitate VMI management overlook VMI semantics (i.e at the level of base image and software packages) with either restricted possibility to identify and extract reusable functionalities or with higher VMI publish and retrieval overheads. In this paper, we design, implement and evaluate Expelliarmus, a novel VMI management system that helps to minimize storage, publish and retrieval overheads. To achieve this goal, Expelliarmus incorporates three complementary features. First, it makes use of VMIs modelled as semantic graphs to expedite the similarity computation between multiple VMIs. Second, Expelliarmus provides a semantic aware VMI decomposition and base image selection to extract and store non-redundant base image and software packages. Third, Expelliarmus can also assemble VMIs based on the required software packages upon user request. We evaluate Expelliarmus through a representative set of synthetic Cloud VMIs on the real test-bed. Experimental results show that our semantic-centric approach is able to optimize repository size by 2.2-16 times compared to state-of-the-art systems (e.g. IBM’s Mirage and Hemera) with significant VMI publish and retrieval performance improvement.

Keyword: Virtual machine image management, semantic similarity, storage optimization
Acknowledgement: The The Austrian Research Promotion Agency (FFG, grant agreement 848448, Tiroler Cloud) and the European Union (Horizon 2020 research and innovation program, grant agreement 644179, ARTICONF) funded this work.

Nishant Saurabh
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The poster “Towards a semantic-centric VMI repository management” has been accepted

The poster “Towards a semantic-centric VMI repository management” has been accepted for presentation at PhD forum event of 33rd IEEE International Parallel & Distributed Processing Symposium, IPDPS 2019 to be held at Rio de Janerio, Brazil (May 20-24 2019)

Authors: Nishant Saurabh (Alpen-Adria Universität Klagenfurt), Radu Prodan (Alpen-Adria Universität Klagenfurt)

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Prof. Radu Prodan @ Der Standard – Wie man Supercomputer programmiert

Wer schafft mehr Rechenoperation pro Sekunde? Hochleistungsrechner sind ein wichtiges Werkzeug im Lösen wissenschaftlicher Probleme. HIER der aktuelle Standard Artikel – ein Interview mit Prof. Radu Prodan.