A hybrid, combinatorial-Markov method of solving performance and reliability models
A hybrid, combinatorial-Markov method of solving performance and reliability models
Performance and reliability analysis of computer systems: an example-based approach using the SHARPE software package
Accelerating mean time to failure computations
Performance Evaluation
Queueing networks and Markov chains: modeling and performance evaluation with computer science applications
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Performance Evaluation of Dependable Real-Time Communication with Elastic QoS
DSN '01 Proceedings of the 2001 International Conference on Dependable Systems and Networks (formerly: FTCS)
ICSOC '07 Proceedings of the 5th international conference on Service-Oriented Computing
A formal model for performance and energy evaluation of embedded systems
EURASIP Journal on Embedded Systems - Special issue on networked embedded systems for energy management and buildings
Survivability modeling with stochastic reward nets
Winter Simulation Conference
An architectural framework for analyzing tradeoffs between software security and performance
ISARCS'10 Proceedings of the First international conference on Architecting Critical Systems
A survivability model in wireless sensor networks
Computers & Mathematics with Applications
Specification and simulation of queuing network models using Domain-Specific Languages
Computer Standards & Interfaces
| Hi-index | 0.00 |
The SHARPE package, Symbolic Hierarchical Automated Reliability and Performance Evaluator, is now 13 years old. A well known package in the field of reliability and performability, SHARPE is used in universities as well as in companies. Many important changes have been made during these years to improve the satisfaction of our users. Recently several new algorithms have been added and a Graphical User Interface has been implemented. This paper presents the current status of the tool.