Quantitative system performance: computer system analysis using queueing network models
Quantitative system performance: computer system analysis using queueing network models
Introduction to Simulation and SLAM II (3rd ed.)
Introduction to Simulation and SLAM II (3rd ed.)
Approximate solutions for a class of non-product form queueing network models
Performance Evaluation
The Distribution of Queuing Network States at Input and Output Instants
Journal of the ACM (JACM)
Analyzing queueing networks with simultaneous resource possession
Communications of the ACM
Finite and Infinite Source Interactions
Performance '84 Proceedings of the Tenth International Symposium on Computer Performance Modelling, Measurement and Evaluation
Simultaneous resource possession in queueing models of computers
ACM SIGMETRICS Performance Evaluation Review
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
IEEE Transactions on Computers
High performance adaptive middleware for CORBA-based systems
Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing
Performance of CORBA-Based Client-Server Architectures
IEEE Transactions on Parallel and Distributed Systems
Software Bottlenecking in Client-Server Systems and Rendezvous Networks
IEEE Transactions on Software Engineering
Performance of adaptive CORBA middleware
Journal of Parallel and Distributed Computing
Configuration of distributed message converter systems
Performance Evaluation
An overview on automatic capacity planning
From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments
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The phenomenon of software congestion is examined. The term refers to situations in which the performance bottleneck of a system is an element of software, rather than a hardware device. Software congestion can occur in any system which contains one or more elements of software whose services may be simultaneously desired by multiple clients, but which can service only one client at a time. It is shown that the use of models which ignore software congestion can produce results that are completely irrelevant to actual system behavior. Furthermore, software congestion is frequently invisible to conventional performance measurement tools. A notational scheme, called mobile servers representation, is introduced for describing those systems in which software congestion may be important. An approximate analytical model, called the hyperbolic model, is developed for analyzing systems with software congestion.