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 […]
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 […]
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.
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
Prof. Kashif Munir from the National University of Computer and Emerging Sciences, Islamabad, Pakistan, visits ITEC@AAU for a period of two months, invited by Prof. Radu Prodan. They will jointly investigate novel architectures and networking methods for next generation Fog computing infrastructures.