Experiences Integrating and Scaling a Performance Test Bed Generator with an Open Source CASE Tool
Proceedings of the 19th IEEE international conference on Automated software engineering
Clearwater: extensible, flexible, modular code generation
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Automating experimentation on distributed testbeds
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Performance comparison of middleware architectures for generating dynamic web content
Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware
SLA design from a business perspective
DSOM'05 Proceedings of the 16th IFIP/IEEE Ambient Networks international conference on Distributed Systems: operations and Management
Towards automated deployment of built-to-order systems
DSOM'05 Proceedings of the 16th IFIP/IEEE Ambient Networks international conference on Distributed Systems: operations and Management
Mulini: an automated staging framework for QoS of distributed multi-tier applications
Proceedings of the 2007 workshop on Automating service quality: Held at the International Conference on Automated Software Engineering (ASE)
Service Load Balancing with Autonomic Servers: Reversing the Decision Making Process
AIMS '08 Proceedings of the 2nd international conference on Autonomous Infrastructure, Management and Security: Resilient Networks and Services
Bottleneck detection using statistical intervention analysis
DSOM'07 Proceedings of the Distributed systems: operations and management 18th IFIP/IEEE international conference on Managing virtualization of networks and services
Hi-index | 0.00 |
As the complexity of large-scale enterprise applications increases, providing performance verification through staging becomes an important part of reducing business risks associated with violating sophisticated service-level agreement (SLA). Currently, performance verification during the staging process is accomplished through either an expensive, cumbersome manual approach or ad hoc automation. This paper describes an automation approach as part of the Elba project supporting monitoring and performance analysis of distributed multi-tiered applications that helps in bottleneck detection. We use machinelearning to determine service-level objectives (SLOs) satisfaction and locate bottlenecks in candidate deployment scenarios. We evaluate our tools with TPC-W, an on-line bookstore, and RUBiS, an on-line auction site.