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Publications

Laboratory of Parallel and Distributed Systems

The research laboratory's mission is conducting research on parallel and distributed systems in order to support the highly parallel and/or distributed execution of grand challenge applications processing very large data sets. We also aim to elaborate new methods and tools for closing the gap between the abstraction level of current parallel and distributed platforms (like supercomputers, clusters, clouds and quantum computers) and the grand challenge applications.
2018

In: 2018 IEEE International Conference on Future IoT Technologies (Future IoT) IEEE, Washington, pp. 1-11.

A Novel IoT Platform for the Era of Connected Cars

Authors
Marosi, Attila
Lovas, Róbert
Kisari, Ádám
Simonyi, Ernő
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2018

JOURNAL OF GRID COMPUTING, 16 (1)., pp. 55-83. ISSN 1570-7873

The Flowbster Cloud-Oriented Workflow System to Process Large Scientific Data Sets

Authors
Kacsuk, Péter
Kovács, József
Farkas, Zoltán
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2018

FUTURE GENERATION COMPUTER SYSTEMS, 88, pp. 524-539. ISSN 0167-739X

The CloudSME simulation platform and its applications: A generic multi-cloud platform for developing and executing commercial cloud-based simulations

Authors
Taylor, SJE
Kiss, T
Anagnostou, A
Terstyanszky, G
Kacsuk, Péter
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2018

ADVANCES IN ENGINEERING SOFTWARE, 125, pp. 136-145. ISSN 0965-9978

Deploying Docker Swarm cluster on hybrid clouds using Occopus

Authors
Kovács, József
Kacsuk, Péter
Emődi, Márk Benjámin
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2018

In: 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2018 IEEE, Piscataway (NJ), pp. 513-520.

An adaptive cloud-based IoT back-end architecture and its applications

Authors
Marosi, Attila
Farkas, Attila
Lovas, Róbert
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2018

AZERBAIJAN JOURNAL OF HIGH PERFORMANCE COMPUTING, 1 (1)., pp. 66-86. ISSN 2616-6127

Data Migration for Large Scientific Datasets in Clouds

Authors
Hajnal, Ákos
Nagy, Enikő
Kacsuk, Péter
Márton, István
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2018

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, xx (x)., pp. x-xx. ISSN 1551-3203

Enabling Cloud-Based Computational Fluid Dynamics With a Platform-as-a-Service Solution

Authors
Taylor, SJE
Anagnostou, A
Kiss, T
Terstyanszky, G
Kacsuk, Péter
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2018

JOURNAL OF GRID COMPUTING, 16 (1)., pp. 19-37. ISSN 1570-7873

Occopus: a Multi-Cloud Orchestrator to Deploy and Manage Complex Scientific Infrastructures

Authors
Kovács, József
Kacsuk, Péter
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2018

ADVANCES IN ENGINEERING SOFTWARE, 125, pp. 167-177. ISSN 0965-9978

Cloud agnostic Big Data platform focusing on scalability and cost-efficiency

Authors
Lovas, Róbert
Nagy, Enikő
Kovács, József
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2018

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 120, pp. 322-322. ISSN 0743-7315

Editorial for the Special Issue on In-Memory Computing

Authors
Shen, X
Lovas, Róbert
Liao, X
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