 |
|
|
With complexity of systems increasing and customer
requirements for QoS growing, new methods and modeling techniques that
explain large-systems' behavior and help predict their future
performance are required to effectively tackle the emerging
performance issues. To accurately answer capacity planning questions
for an existing production system with a real workload mix, we propose a
new capacity planning framework that is based on the following three
components: i) a Workload Profiler that dynamically builds the
workload profile; ii) a Regression-based Solver that is
used for deriving the CPU demand of client transactions on a given
hardware; and iii) an Analytical model that is based on a
network of queues representing the different tiers. To validate our
approach, we conduct a detailed case study using the access logs from
two heterogeneous production servers that represent customized client
accesses to a popular and actively used HP Open View Service Desk
Related Papers and Reports
- N. Mi, L. Cherkasova, K. Ozonat, J. Symons, and E. Smirni:
Analysis of Application Performance and Its Change via
Representative Application Signatures. Will appear in Proc. of the 11th IEEE/IFIP
Network Operations and Management Symposium (NOMS'2008),
Salvador, Bahia, Brazil, April, 7-11, 2008.
- Q. Zhang, L. Cherkasova, G. Mathews, W. Greene, and E. Smirni:
R-Capriccio: A Capacity Planning and Anomaly Detection Tool for
Enterprise Services with Live Workloads. Proc. of the ACM/IFIP/USENIX 8th International Middleware Conference (Middleware'2007),
Newport Beach, CA, USA, November 26-30, 2007.
- Q. Zhang, L. Cherkasova, and E. Smirni: A Regression-Based Analytic Model for
Dynamic Resource Provisioning of Multi-Tier Applications.
Proc. of the 4th IEEE International Conference on Autonomic Computing
(ICAC'2007), Jacksonville, Florida, USA, June 11-15, 2007.
- Q. Zhang, L. Cherkasova, G. Mathews, W. Greene, E. Smirni: A Capacity
Planning Framework for Multi-tier Enterprise Services with Real Workloads. Proc. of the Tenth IFIP/IEEE Symposium on Integrated Management (IM'2007), Munich, Germany, May 21-25, 2007.
|
