Titlebook: Computer Performance Evaluation; Modelling Techniques Ramon Puigjaner,Nunzio N. Savino,Bartomeu Serra Conference proceedings 1998 Springer-

Genistein

SIT

Wallow

Compositional Performance Modelling with the TIPPtoolch aims at realising all beneficial aspects of compositional performance modelling, the TIPPtool. It incorporates methods for compositional specification as well as solution, based on state-of-the-art-techniques, and wrapped in a user-friendly graphical front end.

Diastole

albuminuria

hermitage

Designing Process Replication and Threading Policies: A Quantitative Approachher it is persistent or should be created and terminated with each call. For persistent processes the replication or threading levels must be decided. Inappropriate replication/threading levels can lead to unnecessary queuing delays for callers or an unnecessarily high consumption of memory resource

Enzyme

捏造

Reusable Software Components for Performability Tools, and Their Utilization for Web-Based Configurae potential interaction between such tools. We present the system analysis tools (SAT) application programming interface, which allows for quickly embedding existing tools in the web, and generally simplifies programming analysis tools by structured reuse. We also introduce the FREUD project, which

maintenance

Compositional Performance Modelling with the TIPPtoolch aims at realising all beneficial aspects of compositional performance modelling, the TIPPtool. It incorporates methods for compositional specification as well as solution, based on state-of-the-art-techniques, and wrapped in a user-friendly graphical front end.

Aprope

QNA-MC: A Performance Evaluation Tool for Communication Networks with Multicast Data Streamsulticast protocols. QNA-MC is based on the QNA tool which (approximately) analyses open networks consisting of GI|G|m nodes. We extend this method by allowing a more general input in form of multicast routes. These routes are then converted to serve as input for standard QNA. From the results delive