3 research outputs found
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Performance modelling and evaluation of heterogeneous wired / wireless networks under Bursty Traffic. Analytical models for performance analysis of communication networks in multi-computer systems, multi-cluster systems, and integrated wireless systems.
Computer networks can be classified into two broad categories: wired networks and
wireless networks, according to the hardware and software technologies used to
interconnect the individual devices. Wired interconnection networks are hardware
fabrics supporting communications between individual processors in highperformance
computing systems (e.g., multi-computer systems and cluster systems).
On the other hand, due to the rapid development of wireless technologies, wireless
networks have emerged and become an indispensable part for people¿s lives. The
integration of different wireless technologies is an effective approach to
accommodate the increasing demand of the users to communicate with each other
and access the Internet.
This thesis aims to investigate the performance of wired interconnection
networks and integrated wireless networks under the realistic working conditions.
Traffic patterns have a significant impact on network performance. A number of
recent measurement studies have convincingly demonstrated that the traffic
generated by many real-world applications in communication networks exhibits
bursty arrival nature and the message destinations are non-uniformly distributed.
Analytical models for the performance evaluation of wired interconnection networks
and integrated wireless networks have been widely reported. However, most of these
models are developed under the simplified assumption of non-bursty Poisson process
with uniformly distributed message destinations.
To fill this gap, this thesis first presents an analytical model to investigate the
performance of wired interconnection networks in multi-computer systems. Secondly,
the analytical models for wired interconnection networks in multi-cluster systems are
developed. Finally, this thesis proposes analytical models to evaluate the end-to-end
delay and throughput of integrated wireless local area networks and wireless mesh
networks. These models are derived when the networks are subject to bursty traffic
with non-uniformly distributed message destinations which can capture the
burstiness of real-world network traffic in the both temporal domain and spatial
domain. Extensive simulation experiments are conducted to validate the accuracy of
the analytical models. The models are then used as practical and cost-effective tools
to investigate the performance of heterogeneous wired or wireless networks under
the traffic patterns exhibited by real-world applications
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Performance modeling of congestion control and resource allocation under heterogeneous network traffic. Modeling and analysis of active queue management mechanism in the presence of poisson and bursty traffic arrival processes.
Along with playing an ever-increasing role in the integration of other communication networks and expanding in application diversities, the current Internet suffers from serious overuse and congestion bottlenecks. Efficient congestion control is fundamental to ensure the Internet reliability, satisfy the specified Quality-of-Service (QoS) constraints and achieve desirable performance in response to varying application scenarios. Active Queue Management (AQM) is a promising scheme to support end-to-end Transmission Control Protocol (TCP) congestion control because it enables the sender to react appropriately to the real network situation. Analytical performance models are powerful tools which can be adopted to investigate optimal setting of AQM parameters. Among the existing research efforts in this field, however, there is a current lack of analytical models that can be viewed as a cost-effective performance evaluation tool for AQM in the presence of heterogeneous traffic, generated by various network applications.
This thesis aims to provide a generic and extensible analytical framework for analyzing AQM congestion control for various traffic types, such as non-bursty Poisson and bursty Markov-Modulated Poisson Process (MMPP) traffic. Specifically, the Markov analytical models are developed for AQM congestion control scheme coupled with queue thresholds and then are adopted to derive expressions for important QoS metrics. The main contributions of this thesis are listed as follows:
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¿ Study the queueing systems for modeling AQM scheme subject to single-class and multiple-classes Poisson traffic, respectively. Analyze the effects of the varying threshold, mean traffic arrival rate, service rate and buffer capacity on the key performance metrics.
¿ Propose an analytical model for AQM scheme with single class bursty traffic and investigate how burstiness and correlations affect the performance metrics. The analytical results reveal that high burstiness and correlation can result in significant degradation of AQM performance, such as increased queueing delay and packet loss probability, and reduced throughput and utlization.
¿ Develop an analytical model for a single server queueing system with AQM in the presence of heterogeneous traffic and evaluate the aggregate and marginal performance subject to different threshold values, burstiness degree and correlation.
¿ Conduct stochastic analysis of a single-server system with single-queue and multiple-queues, respectively, for AQM scheme in the presence of multiple priority traffic classes scheduled by the Priority Resume (PR) policy.
¿ Carry out the performance comparison of AQM with PR and First-In First-Out (FIFO) scheme and compare the performance of AQM with single PR priority queue and multiple priority queues, respectively