HPS-HDS: High Performance Scheduling for Heterogeneous Distributed Systems

Florin Pop, Alexandru Iosup, Radu Prodan
2018 Future generations computer systems  
Heterogeneous Distributed Systems (HDS) are often characterized by a variety of resources that may or may not be coupled with specific platforms or environments. Such type of systems are Cluster Computing, Grid Computing, Peer-to-Peer Computing, Cloud Computing and Ubiquitous Computing all involving elements of heterogeneity, having a large variety of tools and software to manage them. As computing and data storage needs grow exponentially in HDS, increasing the size of data centers brings
more » ... tant diseconomies of scale. In this context, major solutions for scalability, mobility, reliability, fault tolerance and security are required to achieve high performance. More, HDS are highly dynamic in its structure, because the user requests must be respected as an agreement rule (SLA) and ensure QoS, so new algorithm for events and tasks scheduling and new methods for resource management should be designed to increase the performance of such systems. In this special issues, the accepted papers address the advance on scheduling algorithms, energy-aware models, self-organizing resource management, dataaware service allocation, Big Data management and processing, performance analysis and optimization. numerous research awards and nominations. His research interests are in massivizing computer systems, that is, making computer systems combine desirable properties such as elasticity, performance, and availability, yet maintain their ability to operate efficiently in controlled ecosystems. Topics include cloud computing and big data, with applications in big science, big business, online gaming, and (upcoming) massivized education. His work is funded by a combination of prestigious personal grants (NWO/STW Vidi 2016 and NWO/STW Veni 2011), generous industry gifts and collaborations (Solvinity, Oracle, Intel), and EU and national projects. Radu Prodan is Associate Professor of computer science at the University of Innsbruck. His research interests in the areas of parallel and distributed systems comprise programming methods, compiler technology, performance analysis, and scheduling for high-performance scientific computing and industrial online gaming applications. Before joining University of Innsbruck, he held previous research positions at ETH Zurich, University of Basel, Swiss Scientific Computing Centre, and University of Vienna. He participated in several national and European projects and is currently coordinating three Austrian projects in the areas of multicore and Cloud computing. Prodan was WP leader in the IST-034601 edutain@grid and 26185 (SHIWA) European projects, and is currently scientific coordinator of the H2020-ICT-2014-1 644179 project ENTICE. Currently he is cochair of the "state-of-the-art and continuous learning in UCS" working group of the Network for Sustainable Ultrascale Computing (NESUS) COST Action funded by the EU that brings together partners from over 30 European countries. He is the author of one book, over 100 journal and conference publications, and is the recipient of two IEEE best paper awards.
doi:10.1016/j.future.2017.09.012 fatcat:aqdguozk5jffbjxpfoecskbpv4