System performance with user behavior graphs
Performance Evaluation
A synthetic workload model for a distributed system file server
SIGMETRICS '91 Proceedings of the 1991 ACM SIGMETRICS conference on Measurement and modeling of computer systems
On the classification of interactive user behaviour indices
SIGMETRICS '85 Proceedings of the 1985 ACM SIGMETRICS conference on Measurement and modeling of computer systems
On the construction of a representative synthetic workload
Communications of the ACM
On Stochastic Models of Interactive Workloads
Performance '83 Proceedings of the 9th International Symposium on Computer Performance Modelling, Measurement and Evaluation
Workload Modeling for Computer Networks
Architektur und Betrieb vpn Rechensystemen, 10. GI/ITG-Fachtagung
On state-dependent workload characterization by software resources
SIGMETRICS '82 Proceedings of the 1982 ACM SIGMETRICS conference on Measurement and modeling of computer systems
A Program Behavior Model and Its Evaluation
MASCOTS '95 Proceedings of the 3rd International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
Workload Characterization Issues and Methodologies
Performance Evaluation: Origins and Directions
Workload Modeling for Performance Evaluation
Performance Evaluation of Complex Systems: Techniques and Tools, Performance 2002, Tutorial Lectures
Automating computer bottleneck detection with belief nets
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
AWPS --- an architecture for pro-active web performance management
PERFORM'10 Proceedings of the 2010 IFIP WG 6.3/7.3 international conference on Performance Evaluation of Computer and Communication Systems: milestones and future challenges
Research: Optimal allocation of clients to file servers
Computer Communications
| Hi-index | 0.00 |
Any performance evaluation study requires a concise description of the workload under which the performance of the system is to be evaluated. Also, the repeatability of the experiments for different workload profiles, requires that the workload models generate the workload profiles parametrically. Such a model, should preferably be time-invariant, consistent and generative. We view the networkload as a sequence that can be generated from the rules of a Context Free Grammar (CFG). Our approach combines the established practice of viewing the workload as “consisting of a hierarchy” and the CFG description, to produce a generative networkload model. The networkload model is applied to a SingleServer-MultipleClients network by deriving the networkload model parameters from an operational SingleServer network of personal computers. The time-invariance and generative nature are verified experimentally. The usefulness of such a description of the networkload to study the resource management problems of a network, like the optimal allocation of clients to servers, is explored by using the generative model as input descriptor to a queueing network model of SingleServer network.