Prof. Radu Prodan visited the Indian Institute of Technology Kottayam.
Distributed and Parallel Systems
Prof. Radu Prodan coordinated EU H2020 Horizon project – ARTICONF (smART socIal media eCOsystem in a blockchaiN Federated environment) held its first kick-off meeting at Klagenfurt from January 8th – 10th 2019. The ARTICONF team comprising of international partners from Austria, Netherlands, UK, Macedonia, Portugal, Spain, and Norway pledged support to create a novel decentralized and trusted social media ecosystem. The international team with diverse expertise ranging from blockchain to digital sociology discussed the road map of the project over three years stipulated period and outlined innovative ways of contribution to European Union’s grand vision of Next Generation Internet (NGI) goals.
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From October 13-22, 2018 Prof. Radu Prodan visited Chandigarh University and Lovely Professional University in India for interaction with research scholars and discussions about the common research projects.
Please find the full AAU news blog article here.
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”.
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 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, 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.