Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Storage Device Performance Prediction with CART Models
MASCOTS '04 Proceedings of the The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
VM3: Measuring, modeling and managing VM shared resources
Computer Networks: The International Journal of Computer and Telecommunications Networking
Communications of the ACM
Analytical and Simulation Modelling of Zoned RAID Systems
The Computer Journal
Ginpex: deriving performance-relevant infrastructure properties through goal-oriented experiments
Proceedings of the joint ACM SIGSOFT conference -- QoSA and ACM SIGSOFT symposium -- ISARCS on Quality of software architectures -- QoSA and architecting critical systems -- ISARCS
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
| Hi-index | 0.00 |
Virtualized cloud environments introduce an additional abstraction layer on top of physical resources enabling their collective use by multiple systems to increase resource efficiency. In I/O-intensive applications, however, the virtualized storage of such shared environments can quickly become a bottleneck and lead to performance and scalability issues. In software performance engineering, application performance is analyzed to assess the non-functional properties taking into account the many performance-influencing factors. In current practice, however, virtualized storage is either modeled as a black-box or tackled with full-blown and fine-granular simulations. This paper presents a systematic performance analysis approach of I/O-intensive applications in virtualized environments. First, we systematically identify storageperformance- influencing factors in a representative storage environment. Second, we quantify them using a systematic experimental analysis. Finally, we extract simple performance analysis models based on regression techniques. Our approach is applied in a real world environment using the state-of-the-art virtualization technology of the IBM System z and IBM DS8700.