Formal Methods and Stochastic Models for Performance Evaluation: Fourth European Performance Engineering Workshop, EPEW 2007, Berlin, Germany, ... (Lecture Notes in Computer Science, 4748) - Softcover
Synopsis
This book constitutes the refereed proceedings of the 4th European Performance Engineering Workshop, EPEW 2007, held in Berlin, Germany, September 27-28, 2007.
The 20 revised full papers presented were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections on Markov Chains, Process Algebra, Wireless Networks, Queueing Theory and Applications of Queueing, Benchmarking and Bounding, Grid and Peer-to-Peer Systems.
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Formal methods and stochastic models for performance evaluation
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Softcover. Condition: Fine. Leichte Risse. This comprehensive work delves into various optimization problems in service provisioning systems, exploring Markov chains and their implications on steady-state probabilities, particularly regarding reward-based measures and equilibrium distributions. It discusses compositionality for Markov reward chains with rapid transitions and presents closed-form absorption time bounds alongside a canonical representation of order 3 phase-type distributions. The text also covers process algebras and state machines, introducing SPAMR, an extension of PAMR with stochastic time, and highlights advancements in SPDL model checking through property-driven state space generation. Additionally, it evaluates finite state machines with stochastic time and timeouts, investigates peer-to-peer (P2P) systems, and assesses P2P search algorithms for trust path discovery. The work emphasizes building online performance models for grid middleware, particularly through a case study on the Globus Toolkit, and proposes a performance measuring framework for grid market middleware. It further explores queueing theory applications, including a fixed-point algorithm for closed queueing networks and automated architectural feedback generation from software performance analysis. The text also examines optimal dynamic server allocation in systems with on/off sources, workload characterization of benchmarks, and resource sharing in performance models. Lastly, it. Seller Inventory # 2a4ccc38-7581-4eea-aade-7b8741e64ca4
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