A5038407501- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
- Advanced Database Systems and Queries
- Parallel Computing and Optimization Techniques
- Distributed systems and fault tolerance
- Data Management and Algorithms
- Graph Theory and Algorithms
Haute École en Hainaut
2017-2023
University of Mons
2015-2016
Energy consumption is one of the main limiting factors for designing and deploying ultrascale systems. Therefore, this paper presents challenges trends associated with energy efficiency systems based on current activities working group "Energy Efficiency" in European COST Action Nesus IC1305. The analysis contains major areas that are related to studies systems: heterogeneous low power hardware architectures, monitoring at large scale, modeling simulation systems, energy-aware scheduling...
Driven by Big Data constraints, several new database paradigms have emerged, one of them is the Wide Column Store (WCS) paradigm. Current WCS solutions are relatively mature, but they many drawbacks. This project aims to provide a alternative combining paradigm with Relational DataBase Management System (RDBMS) architecture, which called: Early results show 31 % performance increase read queries and solid writing performances. early-stage paper encouraging demonstrates that there still room...
Concurrently, with the rise of Big Data systems, relational database management systems (RDBMS) are still widely exploited in servers, client devices, and even embedded inside end-user applications. In this paper, it is suggest to improve performance SQLite, most deployed RDBMS. The proposed solution, named CuDB, an âIn-Memoryâ Database System (IMDB) which attempts exploit specificities of modern CPU / GPU architectures. study massively parallel processing was combined...