Probability, statistics, and queueing theory with computer science applications
Probability, statistics, and queueing theory with computer science applications
Recent progress in unconstrained nonlinear optimization without derivatives
Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
Measurements and analysis of end-to-end Internet dynamics
Measurements and analysis of end-to-end Internet dynamics
Efficient and Accurate Ethernet Simulation
LCN '99 Proceedings of the 24th Annual IEEE Conference on Local Computer Networks
A framework for interpreting measurement over Internet
MoMeTools '03 Proceedings of the ACM SIGCOMM workshop on Models, methods and tools for reproducible network research
Issues and Challenges in the Performance Analysis of Real Disk Arrays
IEEE Transactions on Parallel and Distributed Systems
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
Parameter inference of queueing models for IT systems using end-to-end measurements
Performance Evaluation
A unified load generator based on formal load specification and load transformation
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Internet Measurement: Infrastructure, Traffic and Applications
Internet Measurement: Infrastructure, Traffic and Applications
Computer Performance Evaluation Methodology
IEEE Transactions on Computers
Performance evaluation of a broadband wireless access system subjected to heavy load
Computer Communications
Analytical modeling of primary and secondary load as induced by video applications using UDP/IP
Computer Communications
High-level approach to modeling of observed system behavior
Performance Evaluation
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Current computer systems and communication networks tend to be highly complex, and they typically hide their internal structure from their users. Thus, for selected aspects of capacity planning, overload control and related applications, it is useful to have a method allowing one to find good and relatively simple approximations for the observed system behavior. This paper investigates one such approach where we attempt to represent the latter by adequately selecting the parameters of a set of queueing models. We identify a limited number of queueing models that we use as Building Blocks in our procedure. The selected Building Blocks allow us to accurately approximate the measured behavior of a range of different systems. We propose an approach for selecting and combining suitable Building Blocks, as well as for their calibration. We are able to successfully validate our methodology for a number of case studies. Finally, we discuss the potential and the limitations of the proposed approach.