Distributed and Parallel Systems

Prof. Radu Prodan and Dr. Dragi Kimovski participate at “The 1st ACM SIGOPS Summer School on Advanced Topics in Systems”

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Prof. Radu Prodan and Dr. Dragi Kimovski participate at “The 1st ACM SIGOPS Summer School on Advanced Topics in Systems” where with many proeminent speakers in the area of distributed systenms. They will also present a poster on their work on “A Nature-Inspired Adaptive Fog Architecture”.

Prof. Radu Prodan and Dr. Dragi Kimovski participate in the kickoff meeting of ASPIDE

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The H2020 FET-HPC project ASPIDE started with the Kickoff meeting at the University Carlos III in Madrid.

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Aspide group picture

Guest researcher from the Capital University of Science and Technology, Islamabad

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Dr. Muhammad Aleem  from the Capital University of Science and Technology, Islamabad, Pakistan, visits ITEC@AAU for a period of two months, invited by Prof. Radu Prodan. They will jointly investigate novel programming paradigms, APIs, runtime tools, and methodologies for expressing data-intensive tasks on Exascale systems.

Prof. Radu Prodan

Guest Editor: Special issue in Future Generation Computer Systems

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Prof. Radu Prodan together with Prof. Dr. Eng. Florin Pop and Dr. Gabriel Antoniu published an editorial on “RM-BDP: Resource management for Big Data platforms” in Future Generation Computer Systems (Volume 86, September 2018, Pages 961-963).

Abstract:
Nowadays, when we face with numerous data, when data cannot be classified into regular relational databases and new solutions are required, and when data are generated and processed rapidly, we need powerful platforms and infrastructure as support. Extracting valuable information from raw data is especially difficult considering the velocity of growing data from year to year and the fact that 80% of data is unstructured. In addition, data sources are heterogeneous (various sensors, users with different profiles, etc.) and are located in different situations or contexts. Cloud computing, which concerns large-scale interconnected systems with the main purpose of aggregation and efficient exploiting the power of widely distributed resources, represent one viable solution. Resource management and task scheduling play an essential role, in cases where one is concerned with optimized use of resources (Negru et al., 2017).
The goal of this special issue is to explore new directions and approaches for reasoning about advanced resource management and task scheduling methods and algorithms for Big Data platforms. The accepted papers present new results in the domain of resource management and task scheduling, Cloud platforms supporting Big Data processing, data handling and Big Data applications.

Nishant Saurabh

Nishant Saurabh visited Thapar University, India for ongoing and prospective research collaboration

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Nishant Saurabh, as a representative of Prof. Radu Prodan from ITEC@AAU visited Thapar University, Patiala, Punjub, India for ongoing and prospective  future  research collaborations with Prof. Neeraj Kumar and his team. Prof. Neeraj Kumar research together with Prof. Radu Prodan on “QoS-aware Energy Management Scheme for Self-Sustainable Data Centers using Renewable Energy Sources”, a project jointly funded by ÖAD and DST.

Prof. Radu Prodan

Prof. Radu Prodan gives an invited presentation on “Multi-Objective Workflow Scheduling on Clouds”

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Prof. Radu Prodan gives an invited presentation on “Multi-Objective Workflow Scheduling on Clouds” at the Workshop on Sustainable Ultrascale Computing Systems organised at the ISC High-Performance 2018 Conference in Frankfurt, Germany.

Parallel computing course in WS 2018 – Prof. Jorge Barbosa

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ITEC is delighted to announce the next speaker in our guest lecture series – it will be Prof. Jorge Barbosa from Universidade do Porto, Portugal.
The course will take place from November 8-10 and November 22-24, 2018. Read more

Prof. Radu Prodan

Inauguration Seminar Talks

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Radu Prodan participates in the Inauguration Seminar Talks and presents “Massively Multiplayer Online Games on Large-scale Systems”.

Prof. Radu Prodan

Guest Editors’ Introduction: Special Issue on Storage for the Big Data Era

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Prof. Radu Prodan together with Prof. Vlado Stankovski from the University of Ljubljana published a special issue on “Storage for the Big Data Era” in the Journal of Grid Computing.

Prof. Radu Prodan

E-OSched: a load balancing scheduler for heterogeneous multicores

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Radu Prodan’s paper in Journal of Supercomputing (“E-OSched: a load balancing scheduler for heterogeneous multicores”) is online now and can be accessed from the following URLs:
https://link.springer.com/article/10.1007%2Fs11227-018-2435-1