1,471 research outputs found
Construction and Verification of Performance and Reliability Models
Over the last two decades formal methods have been extended towards performance and reliability evaluation. This paper tries to provide a rather intuitive explanation of the basic concepts and features in this area.
Instead of striving for mathematical rigour, the intention is to give an illustrative introduction to the basics of stochastic models, to stochastic modelling using process algebra, and to model checking as a technique to analyse stochastic models
Getting the Priorities Right: Saturation for Prioritised Petri Nets
Prioritised Petri net is a powerful modelling language that often
constitutes the core of even more expressive modelling languages such as
GSPNs (Generalized Stochastic Petri nets). The saturation state space
traversal algorithm has proved to be efficient for non-prioritised
concurrent models. Previous works showed that priorities may be encoded into
the transition relation, but doing so defeats the main idea of saturation by
spoiling the locality of transitions. This paper presents an extension of
saturation to natively handle priorities by considering the priority-related
enabledness of transitions separately, adopting the idea of constrained
saturation. To encode the highest priority of enabled transitions in every
state we introduce edge-valued interval decision diagrams. We show that in
case of Petri nets, this data structure can be constructed offline.
According to preliminary measurements, the proposed solution scales better
than previously known matrix decision diagram-based approaches, paving the
way towards efficient stochastic analysis of GSPNs and the model checking of
prioritised models
SIMULATION-BASED PERFORMABILITY ANALYSIS OF MULTIPROCESSOR SYSTEMS
The primary focus in the analysis of multiprocessor systems has traditionally been on their performance. However, their large number of components, their complex network topologies, and sophisticated system software can make them very unreliable. The dependability of a computing system ought to be considered in an early stage of its development in order to take influence on the system architecture and to achieve best performance with high
dependability. In this paper a simulation-based method for the combined performance and dependability analysis of fault tolerant multiprocessor systems are presented which provide meaningful results already during the design phase
List of requirements on formalisms and selection of appropriate tools
This deliverable reports on the activities for the set-up of the modelling environments for the evaluation activities of WP5. To this objective, it reports on the identified modelling peculiarities of the electric power infrastructure and the information infrastructures and of their interdependencies, recalls the tools that have been considered and concentrates on the tools that are, and will be, used in the project: DrawNET, DEEM and EPSys which have been developed before and during the project by the partners, and M\uf6bius and PRISM, developed respectively at the University of Illinois at Urbana Champaign and at the University of Birmingham (and recently at the University of Oxford)
Model-based dependability analysis : state-of-the-art, challenges and future outlook
Abstract: Over the past two decades, the study of model-based dependability analysis has gathered significant research interest. Different approaches have been developed to automate and address various limitations of classical dependability techniques to contend with the increasing complexity and challenges of modern safety-critical system. Two leading paradigms have emerged, one which constructs predictive system failure models from component failure models compositionally using the topology of the system. The other utilizes design models - typically state automata - to explore system behaviour through fault injection. This paper reviews a number of prominent techniques under these two paradigms, and provides an insight into their working mechanism, applicability, strengths and challenges, as well as recent developments within these fields. We also discuss the emerging trends on integrated approaches and advanced analysis capabilities. Lastly, we outline the future outlook for model-based dependability analysis
Methodologies synthesis
This deliverable deals with the modelling and analysis of interdependencies between critical infrastructures, focussing attention on two interdependent infrastructures studied in the context of CRUTIAL: the electric power infrastructure and the information infrastructures
supporting management, control and maintenance functionality. The main objectives are: 1) investigate the main challenges to be addressed for the analysis and modelling of interdependencies, 2) review the modelling methodologies and tools that can be used to address these challenges and support the evaluation of the impact of interdependencies on the dependability and resilience of the service delivered to the users, and 3) present the preliminary directions investigated so far by the CRUTIAL consortium for describing and modelling interdependencies
A Compositional Semantics for Stochastic Reo Connectors
In this paper we present a compositional semantics for the channel-based
coordination language Reo which enables the analysis of quality of service
(QoS) properties of service compositions. For this purpose, we annotate Reo
channels with stochastic delay rates and explicitly model data-arrival rates at
the boundary of a connector, to capture its interaction with the services that
comprise its environment. We propose Stochastic Reo automata as an extension of
Reo automata, in order to compositionally derive a QoS-aware semantics for Reo.
We further present a translation of Stochastic Reo automata to Continuous-Time
Markov Chains (CTMCs). This translation enables us to use third-party CTMC
verification tools to do an end-to-end performance analysis of service
compositions.Comment: In Proceedings FOCLASA 2010, arXiv:1007.499
Performance Evaluation of CORBA Concurrency Control Service Using Stochastic Petri Nets
The interest in performance evaluation of middleware systems is increasing. Measurement techniques are still predominant among those used to carry out performance evaluation. However, performance models are currently being defined due to their flexibility, precision and facilities to carry out capacity planning activities. This paper presents stochastic Petri net models for performance evaluation of the CORBA Concurrency Control Service (CCS), which mediates concurrent access to objects. In order to validate the proposed models, CCS performance results obtained using those models are then compared against ones obtained through actual measurements.The interest in performance evaluation of middleware systems is increasing. Measurement techniques are still predominant among those used to carry out performance evaluation. However, performance models are currently being defined due to their flexibility, precision and facilities to carry out capacity planning activities. This paper presents stochastic Petri net models for performance evaluation of the CORBA Concurrency Control Service (CCS), which mediates concurrent access to objects. In order to validate the proposed models, CCS performance results obtained using those models are then compared against ones obtained through actual measurements
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