Low Earth orbit (LEO) satellite networks are capable of providing wireless connectivity seamlessly and continuously to any part of the world with guaranteed short round-trip propagation delay. As a key part of next ge...
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Low Earth orbit (LEO) satellite networks are capable of providing wireless connectivity seamlessly and continuously to any part of the world with guaranteed short round-trip propagation delay. As a key part of next generation network (NGN) infrastructure, next generation satellite networks are expected to support a variety of applications with diverse performance requirements. This paper argues that the constellation tomography for the LEO satellite network is a preliminary step for efficient satellite network monitoring and performance promotion. To measure the constellation, a divide-and-conquer mechanism is developed for each parameter estimation by delay probing. The delay measurement is only carried out between two terminals located at the same geographic positions. Performance evaluation on several popular polar LEO constellations proves the accuracy and efficiency of the developed constellation tomography algorithms in divide-and-conquer manner. The geographic position limitation of the delay probing terminals for valid constellation inference is also analyzed in the paper
The highly topological dynamics characterize the most fundamental property of satellite networks contrary to the terrestrial networks. This manifest feature directs the researches on various aspects of satellite netwo...
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The highly topological dynamics characterize the most fundamental property of satellite networks contrary to the terrestrial networks. This manifest feature directs the researches on various aspects of satellite networks, including routing and switching architecture selection, routing protocol and reliable transmission control protocol design and enhancement, etc,. The paper quantifies the dynamical activates of layered satellite network topologies. The number and length of network snapshots of one-layered satellite constellations are formulated concisely. The snapshot distributions of typical multi-layered constellations are also evaluated. With this work, it compensates for the simplified topological assumptions in many satellite network related investigations. The thorough understanding of this basic feature not only provides for an accurate quantification of network behavior, but also guides constellation design for future satellite networks
In practice, the schedulability of static priority scheduling may be reduced if priority levels of the system are insufficient. When the priority levels that a task set requires are more than the system can support, m...
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In practice, the schedulability of static priority scheduling may be reduced if priority levels of the system are insufficient. When the priority levels that a task set requires are more than the system can support, more than one task must be assigned the same priority. The priority mapping algorithms that have been used can augment the worst-case response time of task with higher priority, and may reduce the system schedulability. If keeping system schedulable, these algorithms may require more priority levels than the system can support. With preemption threshold scheduling model, the schedulability is improved as compared to both preemption and non-preemption scheduling models, and all tasks can be handled with the minimum number of event handling threads. But, the number of system priority levels that a thread needs does not be reduced. This paper presents a priority mapping algorithm called TSM (threshold segment mapping) and a thread implementation architecture with event-driven. It is shown that the TSM algorithm can maintain the strict order of tasks' priorities, and does not improve task's worst-case response time. The number of system priority levels used by the algorithm and architecture equals to that of threads. Simulations show that when maintaining system schedulability, the TSM algorithm uses less priority levels than existing priority mapping algorithms.
A design of fuzzy model-based predictive control for industrial furnaces has been derived and applied to the model of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The fuzzy-neural variant of Takagi-Sugeno...
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A design of fuzzy model-based predictive control for industrial furnaces has been derived and applied to the model of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The fuzzy-neural variant of Takagi-Sugeno fuzzy model, as an adaptive neuro-fuzzy implementation, is employed as a predictor in a predictive controller. In order to build the predictive controller the adaptation of the fuzzy model using dynamic process information is carried out. Optimization procedure employing a simplified gradient technique is used to calculate predictions of the future control actions.
In real-life distributed systems, dynamic changes are unavoidable properties because of the degeneration or improvement in system performance. Hence to understand the dynamic changes and to "catch the trend"...
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In real-life distributed systems, dynamic changes are unavoidable properties because of the degeneration or improvement in system performance. Hence to understand the dynamic changes and to "catch the trend" of the changes in distributed systems will be very important for distributed systems management. In order to model the dynamic changes in distributed systems, temporal extensions of Bayesian networks are employed to address the temporal factors and to model the dynamic changes of managed entities and the dependencies between them. Furthermore, the prediction capabilities are investigated by means of the relevant inference techniques when the imprecise and dynamic management information occurs in the distributed system
A control scheme for highway tunnels is designed based on a static model of a highway tunnel. The controller is designed to keep the exhaust levels inside the tunnel below given limits. During operation, the model is ...
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ISBN:
(纸本)1424401704;9781424401703
A control scheme for highway tunnels is designed based on a static model of a highway tunnel. The controller is designed to keep the exhaust levels inside the tunnel below given limits. During operation, the model is being modified by adaptation. The control itself is achieved by linear programming. Finally, an example of the control is given
A Multi-Agent System ( MAS ) is a promising approach to build complex system. This paper introduces the research of the Inner-Enterprise Credit Rating MAS ( IECRMAS). To raise the rating accuracy, we not only cons...
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A Multi-Agent System ( MAS ) is a promising approach to build complex system. This paper introduces the research of the Inner-Enterprise Credit Rating MAS ( IECRMAS). To raise the rating accuracy, we not only consider the rating-target's information, but also focus on the evaluators' feature information and propose the rational rating-group formation algorithm based on an anti-bias measurement of the group. We also propose the rational rating individual, which consists of the evaluator and the assistant rating agent. A rational group formation protocol is designed to coordinate autonomous agents to perform the rating job.
Our energy production increasingly depends on renewable energy sources, which impose new challenges for distributed and decentralized systems. One problem is that the availability of renewable energy sources such as w...
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ISBN:
(纸本)9781424430116
Our energy production increasingly depends on renewable energy sources, which impose new challenges for distributed and decentralized systems. One problem is that the availability of renewable energy sources such as wind and solar is not continuous as it is affected by meteorological factors. The challenge is to develop forecast methods capable of determining the level of power generation in near real-time in order to control power plants for optimal energy production. Another scenario is the identification of optimal locations for such power plants. In our collaborative project, these tasks are investigated in the domain of energy meteorology. For that purpose large data sources from many different sensors (e.g., satellites and ground stations) are the base for complex computations. The idea is to parallelize these computations in order to obtain significant speedup. This paper reports on an ongoing project employing Grid technologies in that context. Our approach to processing large data sets from a variety of heterogeneous data sources as well as ideas for parallel and distributed computing in energy meteorology are presented. Preliminary experience with several Grid middleware systems in our application scenario is discussed.
The first-come first-served scheduling framework adopted by most application servers has been proved to be inappropriate for dealing with unexpected overload for Internet-oriented Web applications. Considering the def...
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The first-come first-served scheduling framework adopted by most application servers has been proved to be inappropriate for dealing with unexpected overload for Internet-oriented Web applications. Considering the deficiency of the existing work from the architecture view, this paper presents a scheduling framework based on the notion of QoS benefits, which contains several cooperating components to guarantee the QoS requirements of the applications. The QoS benefits used to evaluate the QoS guarantee provided by the server according to the QoS requirements of the applications and the resource management based on the QoS benefits will help to provide a better QoS guarantee. Experimental results confirm the efforts on the OnceAS application Server.
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