Stochastic Automata Network of Modeling Parallel Systems
IEEE Transactions on Software Engineering
Efficient descriptor-vector multiplications in stochastic automata networks
Journal of the ACM (JACM)
Scalable Parallel Computing: Technology,Architecture,Programming
Scalable Parallel Computing: Technology,Architecture,Programming
Stochastic activity networks: formal definitions and concepts
Lectures on formal methods and performance analysis
Continuous-time hidden Markov models for network performance evaluation
Performance Evaluation
G-Networks: Multiple Classes of Positive Customers, Signals, and Product Form Results
Performance Evaluation of Complex Systems: Techniques and Tools, Performance 2002, Tutorial Lectures
Performability evaluation: where it is and what lies ahead
IPDS '95 Proceedings of the International Computer Performance and Dependability Symposium on Computer Performance and Dependability Symposium
Performance Tradeoffs in Scheduling Techniques for Mixed Workloads
Multimedia Tools and Applications
PEPA nets: a structured performance modelling formalism
Performance Evaluation - Modelling techniques and tools for computer performance evaluation
MASCOTS '04 Proceedings of the The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
lmbench: portable tools for performance analysis
ATEC '96 Proceedings of the 1996 annual conference on USENIX Annual Technical Conference
Stochastic Model for QoS Assessment in Multi-tier Web Services
Electronic Notes in Theoretical Computer Science (ENTCS)
Performance Evaluation of Software Development Teams: a Practical Case Study
Electronic Notes in Theoretical Computer Science (ENTCS)
Efficient vector-descriptor product exploiting time-memory trade-offs
ACM SIGMETRICS Performance Evaluation Review
SAN lite-solver: a user-friendly software tool to solve SAN models
Proceedings of the 2012 Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium
A Structured Stochastic Model for Prediction of Geological Stratal Stacking Patterns
Electronic Notes in Theoretical Computer Science (ENTCS)
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Performance evaluation by benchmarking is one of the main approaches for measuring performance of a computer system. However, it is important to measure parts of a system before they are even implemented. This can be achieved through an analytical description of the system, allowing the analysis of the system performance. Additionally, the analytical model can be extended to consider also reliability issues. This paper presents a generic model for an Operating System (OS) scheduler using the Stochastic Automata Networks (SAN) formalism. SAN are used to describe processes and processors in the OS and their behavior when processes have to be migrated. Moreover, processor failures are also modeled in order to provide reliability indices. The proposed model uses actual benchmarks results obtained from a 4-processor Itanium2 SMP machine and a 12-processor Itanium2 NUMA machine.