A generalized formulation for the performability indicator

DOI10.1016/j.camwa.2005.11.009zbMath1092.60029OpenAlexW2091257285MaRDI QIDQ2494781

Agapios Platis

Publication date: 30 June 2006

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2005.11.009

zbMATH Keywords

Markov reward modelsCumulative reward modelsCyclic nonhomogeneous Markov chainsMaintenance cost analysisStochastic reward models

Mathematics Subject Classification ID

Inventory, storage, reservoirs (90B05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items (8)

Optimization of System Availability for a Multi-State Preventive Maintenance Model from the Perspective of a System’s Components ⋮ A dynamic delay-based reliability evaluation model for communication networks ⋮ Reliability of manufacturing equipment in~complex~environments ⋮ Performance-Related Reliability Analysis Methodology of Computer Networks ⋮ Software rejuvenation and resource reservation policies for optimizing server resource availability using cyclic nonhomogeneous Markov chains ⋮ An effective Markov based approach for calculating the limit matrix in the analytic network process ⋮ Optimal server resource reservation policies for priority classes of users under cyclic non-homogeneous Markov modeling ⋮ A Novel Double-Time-Scale Evaluation Method for Ethernet Performability

Cites Work

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• On Evaluating the Performability of Degradable Computing Systems
• Cyclic Strong Ergodicity in Nonhomogeneous Markov Systems
• Throughput availability in Markov systems
• Performance-Related Reliability Measures for Computing Systems
• On Markov reward modelling with FSPNs
• Evaluation of Performability for Degradable Computer Systems
• Numerical iterative methods for Markovian dependability and performability models: new results and a comparison
• Numerical analysis of large Markov reward models

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