Virtualization and databases: state of the art and research challenges
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Observation and analysis of the multicore performance impact on scientific applications
Concurrency and Computation: Practice & Experience - Exploring the Frontiers of Computing Science and Technology: Adapting Emerging Multi-and Many-core Processors
Addressing shared resource contention in multicore processors via scheduling
Proceedings of the fifteenth edition of ASPLOS on Architectural support for programming languages and operating systems
Case study for running HPC applications in public clouds
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
Database scalability, elasticity, and autonomy in the cloud
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Evaluation and optimization of multicore performance bottlenecks in supercomputing applications
ISPASS '11 Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software
Analysis of Virtualization Technologies for High Performance Computing Environments
CLOUD '11 Proceedings of the 2011 IEEE 4th International Conference on Cloud Computing
Hi-index | 0.00 |
This paper presents the impact analysis of the hyper visor layer over database applications. The conclusions were reached by performing experiments with hybrid environments, composed by bare-metal servers and two types of hyper visors. The main objectives were to compare the behaviour of database applications and to determine the maximum service capacity of a virtualized database server on different environments. With the results, it was possible to assess the scalability of a database environment, according to the type of hyper visor and the number of simultaneous connections, and decide how and when to expand or reduce the virtualized infrastructure.