Departure Processes of BMAP/G/1 Queues
Queueing Systems: Theory and Applications
The BMAP/G/1 QUEUE: A Tutorial
Performance Evaluation of Computer and Communication Systems, Joint Tutorial Papers of Performance '93 and Sigmetrics '93
Fitting Mixtures of Exponentials to Long-Tail Distributions to Analyze Network Performance Models
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Modeling IP traffic using the batch Markovian arrival process
Performance Evaluation - Modelling techniques and tools for computer performance evaluation
Matrix Analysis For Scientists And Engineers
Matrix Analysis For Scientists And Engineers
Models of the departure process of a BMAP/MAP/1 queue
ACM SIGMETRICS Performance Evaluation Review - Special issue on the workshop on MAthematical performance Modeling And Analysis (MAMA 2005)
Blocking Probability in a BMAP Queue
ISCC '06 Proceedings of the 11th IEEE Symposium on Computers and Communications
Threshold Workload Control in the BMAP/G/1 Queue
QEST '06 Proceedings of the 3rd international conference on the Quantitative Evaluation of Systems
Analytical modeling of primary and secondary load as induced by video applications using UDP/IP
Computer Communications
| Hi-index | 0.00 |
Load transformation can be used to derive valid load models for secondary loads in computer networks, as they can be observed at lower layer interfaces in protocol stacks. In this paper we apply the technique of load transformation onto load represented by BMAP (Batch Markov Arrival Process) models and choose as concrete transformations the following two practically relevant classes of load transforming processes in packet-switched networks: "Fragmentation" and "Losses of Packets". Comparing the analytical characteristics of load after transformation with corresponding load predictions based on load transformation by simulation, we are able to show that realistic modeling is feasible for both classes of transformations considered. We also illustrate the usefulness of the analytical models elaborated by deriving a detailed prediction of secondary load characteristics which, in turn, can be used to specifically optimize performance measures (such as network throughput).