A TCP-friendly flow control algorithm is presented by adapting from AIMD algorithm, which not only provides basic flow congestion control for multimedia data traffic over Internet, but also fulfills the fairness betwe...
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A control systems engineering approach, employing a two-level overall system architecture and different but compatible formalisms for system representation on the upper and lower levels, has been investigated in detai...
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This paper extends some of the basic results in the area of Lyapunov (asymptotic) and finite time and practical stability to linear, discrete, time invariant time-delay systems, New definitions have been established f...
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A TCP-friendly flow control algorithm is presented by adapting from AIMD algorithm, which not only provides basic flow congestion control for multimedia data traffic over Internet, but also fulfills the fairness betwe...
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A TCP-friendly flow control algorithm is presented by adapting from AIMD algorithm, which not only provides basic flow congestion control for multimedia data traffic over Internet, but also fulfills the fairness between RTP flows and TCP flows. This algorithm mostly retains essential characteristics of AIMD. However, several important parameters involved in network communication is specially considered and properly introduced into the improved algorithm. All works done to AIMD algorithm can help smooth multimedia transfer and guarantee the fairness among TCP flows and RTP flows.
Path prediction is currently being considered for use in the context of mobile and wireless computing toward more efficient network resource management schemes. Path prediction allows the network and services to furth...
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Path prediction is currently being considered for use in the context of mobile and wireless computing toward more efficient network resource management schemes. Path prediction allows the network and services to further enhance the quality of service levels the user enjoys. Such mechanisms are mostly meaningful in infrastructures like wireless LANs. In this article we present a path prediction algorithm that exploits the machine learning algorithm of learning automata. The decision of the learning automaton is driven by the movement patterns of a single user but is also affected by the aggregated patterns demonstrated by all users. Simulations of the algorithm, performed using the Realistic Mobility Pattern Generator, show increased prediction accuracy.
An important fundamental task for Web log mining is data preprocessing. Now there are some principles about data preprocessing, which has difficulty in application. According to these principles, this paper presents s...
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ISBN:
(纸本)0780378652
An important fundamental task for Web log mining is data preprocessing. Now there are some principles about data preprocessing, which has difficulty in application. According to these principles, this paper presents some new rules and algorithms, which can be used to improve the performance of data preprocessing. These rules and algorithms have been proved valid and efficient by experiments.
This paper extends some of the basic results in the area of Lyapunov (asymptotic) and finite time and practical stability to linear, discrete, time invariant time-delay systems. New definitions have been established f...
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This paper extends some of the basic results in the area of Lyapunov (asymptotic) and finite time and practical stability to linear, discrete, time invariant time-delay systems. New definitions have been established for the latter concept of stability. Sufficient conditions for this type of stability, concerning the particular class of linear discrete time-delay systems are derived. More over the generalization of some previous results, in the area of Lyapunov stability for the same class of systems has been also established and proved.
A control systems engineering approach, employing a two-level overall system architecture and different but compatible formalisms for system representation on the upper and lower levels, has been investigated in detai...
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A control systems engineering approach, employing a two-level overall system architecture and different but compatible formalisms for system representation on the upper and lower levels, has been investigated in detail. One design alternative is based on employing fuzzy-system approximators and solving for the adaptive tracking of the given, arbitrary, desired system outputs. The other alternative is based on state equations of composite systems and the use of neural-network approximators to deal with uncertainties and control adaptation. In both alternatives similarity property of subsystems has been exploited. Both designs can be implemented within the standard computer process control technology, and are therefore believed to be promising in applied systems engineering.
This paper deals with traffic rate control problems of networks. The incentive Stackelberg strategy concept was introduced to the networking model that comprises subsidiary systems of users and network. A linear strat...
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This work consider the problem of flow control using incentive strategy in Stackelberg game theory. The network model employed here is that users route their flows from a common source to a common destination node, ea...
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