Performance analysis of statistical multiplexing of VBR sources
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 2)
The Markov-modulated Poisson process (MMPP) cookbook
Performance Evaluation
Parallel communications for ATM network control and management
Performance Evaluation
An architecture for packet-striping protocols
ACM Transactions on Computer Systems (TOCS)
Connection-wise end-to-end performance analysis of queuing networks with MMPP inputs
Performance Evaluation
Decomposition of general tandem queueing networks with MMPP input
Performance Evaluation
The complete analysis of the discrete time finite DBMAP/G/1/N queue
Performance Evaluation
The departure process of discrete-time queueing systems with Markovian type inputs
Queueing Systems: Theory and Applications
Stability of Fluid Networks with Proportional Routing
Queueing Systems: Theory and Applications
Departure Processes of BMAP/G/1 Queues
Queueing Systems: Theory and Applications
Decomposition of general queueing networks with MMPP inputs and customer losses
Performance Evaluation
LCN '00 Proceedings of the 25th Annual IEEE Conference on Local Computer Networks
Load balancing in homogeneous broadcast distributed systems
Proceedings of the Computer Network Performance Symposium
Generalized load sharing for packet-switching networks
ICNP '00 Proceedings of the 2000 International Conference on Network Protocols
Modeling IP traffic using the batch Markovian arrival process
Performance Evaluation - Modelling techniques and tools for computer performance evaluation
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
String mode-a new concept for performance improvement of ATM networks
IEEE Journal on Selected Areas in Communications
Striping within the network subsystem
IEEE Network: The Magazine of Global Internetworking
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The contemporary high-speed networks, e.g. the Internet and asynchronous transfer mode (ATM) networks provide a convenient and cost-effective communication platform to carry the emerging multimedia applications. However, problems, such as network congestion caused by overloaded traffic get worse day by day. Thus, how to properly control the system while maintaining the quality of service (QoS) for users becomes an important and challenging issue. To reach the goal of QoS guarantee, load sharing or traffic balancing is one of important techniques to improve the whole network performance. In this paper, we focus on the probabilistic routing policy and analyze split traffic models under such a probabilistic routing policy with input traffic models of the batch Markovian arrival process (BMAP) and discrete-time BMAP (D-BMAP) which can be employed to characterize the multimedia traffic in current and future networks. We successfully show that the split traffic on each routing path from an original BMAP (D-BMAP) input is still a BMAP (D-BMAP). The detailed traffic structure is also acquired. Applying traffic splitting along with the output process characterization, we propose a network-wise performance evaluation method suitable for mesh networks with a probabilistic routing algorithm to get the end-to-end delay, delay variance, and cell loss probability. With numerical experiments, we show that (i) the probabilistic routing policy with a random routing matrix performs well for systems; (ii) the proposed method of network-wise performance analysis has good accuracy.