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.
Temporal Petri nets can not only enhance the modeling and analyzing power of Petri nets, but compensate the shortcoming that Petri nets do not represent timing constraint. By means of temporal Petri nets, an online dy...
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Temporal Petri nets can not only enhance the modeling and analyzing power of Petri nets, but compensate the shortcoming that Petri nets do not represent timing constraint. By means of temporal Petri nets, an online dynamic stock trading system based on shared-variable distributed shared memory is adopted, and the requirements specification of the dynamic stock trading system is formally modeled and elegantly described by formulas containing the temporal operators.
The problem of Distributed Denial of Service attacks present a clear threat to the US information infrastructure. As long as that threat exists, malicious users on the Internet have the capability to engage in pinpoin...
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ISBN:
(纸本)9781622763511
The problem of Distributed Denial of Service attacks present a clear threat to the US information infrastructure. As long as that threat exists, malicious users on the Internet have the capability to engage in pinpoint attacks of sites connected to the Internet, rendering them inoperable for minutes or even hours. Much of the work on this subject has focused on reactive approaches to defense, identifying and filtering attack packets, using trace back strategies to locate attackers, etc. In this paper we simulate one of the preventative solutions, Secure Overlay Services. Our simulation shows that SOS provides connectivity throughout even a very powerful and intelligent attack using a widely distributed overlay network.
An important problem of machine vision is the balance among the efficiency, accuracy and computation cost. The visual system of man can keep watchfulness to the perimeter of a visual field and subtly process informati...
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An important problem of machine vision is the balance among the efficiency, accuracy and computation cost. The visual system of man can keep watchfulness to the perimeter of a visual field and subtly process information emerging in the center of the visual field at the same time. This kind of requirement assignment of computation can virtually ease the demand of hardware both in quantity and complexity. Therefore designing an artificial model based on biological mechanism is an effective approach. In this paper a multi-layer neural model is designed based on the multi-scale receptive fields of ganglions in retina. The model can keep watch on the periphery part of a scene while processing the center information of the scene. And why it can balance the hardware complexity, processing precision and computational intensity is analyzed. An experiment is done to test the model's sensitivity in watchfulness keeping and its efficiency and veracity in environment sampling. This model may provide valuable inspiration in the implementation of real-time processing and the avoidance of expensive computation cost in machine vision.
As a new unsupervised learning technique, manifold learning has captured the attention of many researchers in the field of machine learning and cognitive sciences. The major algorithms include Isometric mapping (ISOMA...
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As a new unsupervised learning technique, manifold learning has captured the attention of many researchers in the field of machine learning and cognitive sciences. The major algorithms include Isometric mapping (ISOMAP) and Locally Linear Embedding (LLE). The approaches can be used for discovering the intrinsic dimensions of nonlinear high-dimensional data effectively and aim researchers to analyze the data better. How to quantitatively analyze the relationship between the intrinsic dimensions and the observation space, however, has fewer reports. And thus further works in manifold learning may have suffered some difficulties. The paper focuses on two kinds of manifold learning algorithms (ISOMAP, LLE), and discusses magnification factors and principal spread directions from the observation space to the intrinsic low-dimensional space. Also the corresponding algorithm is proposed. Experiments show the effectiveness and advantages of the research.
Innovation on 3D shape design relies on advanced product design theory and effective design tools. The requirements for design tools mainly include collaborative performance and natural performance of interaction. In ...
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ISBN:
(纸本)184000025
Innovation on 3D shape design relies on advanced product design theory and effective design tools. The requirements for design tools mainly include collaborative performance and natural performance of interaction. In this paper, a 3D collaborative editing environment based on interactive transaction log is put forward and moreover the system architecture is presented. The collaborative mechanism is discussed and the collision detection of manipulation and application strategy during the course of multi-user concurrency editing is studied, the interactive gesture appropriate to 3D model and application methods are studied too. Finally a prototype system is built, which obtains satisfied result in practice.
engineering a large software project involves tracking the impact of development and maintenance changes on the software performance. An approach for tracking the impact is regression benchmarking, which involves auto...
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engineering a large software project involves tracking the impact of development and maintenance changes on the software performance. An approach for tracking the impact is regression benchmarking, which involves automated benchmarking and evaluation of performance at regular intervals. Regression benchmarking must tackle the nondeterminism inherent to contemporary computer systems and execution environments and the impact of the nondeterminism on the results. On the example of a fully automated regression benchmarking environment for the mono open-source project, we show how the problems associated with nondeterminism can be tackled using statistical methods.
This paper presents a novel approach to implementing dynamic LOD on GPU. For our purpose, a quadtree structure is created based on seamless geometry image atlas, which is a 3D surface representation in parameter space...
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ISBN:
(纸本)15301052
This paper presents a novel approach to implementing dynamic LOD on GPU. For our purpose, a quadtree structure is created based on seamless geometry image atlas, which is a 3D surface representation in parameter space by combining the features of geometry images and poly-cube maps. All the nodes in the quadtree are packed into the atlas textures. There are two rendering passes in our approach. In the first pass, the LOD selection is performed in the fragment shaders. The resultant buffer is taken as the input texture to the second rendering pass by vertex texturing, and thus the node culling and triangulation can be performed in the vertex shaders. Our LOD algorithm can generate adaptive meshes dynamically, and can be fully implemented on GPU. It improves the efficiency of LOD selection, and alleviates the computing load on CPU.
Recent research shows that one of remarkable characteristic is the fractal nature of the investigated network traffic, especially the multifractal phenomena over small time scale. In this paper, based on multifractal ...
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Middleware support is a major topic in pervasive computing. Existing studies mainly address the issues in the organization of and the collaboration amongst devices and services, but pay little attention to the design ...
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