There has recently been increasing interests in using system virtualization to improve the dependability of HPC cluster systems. However, it is not cost-free and may come with some performance degradation, uncertain Q...
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There has recently been increasing interests in using system virtualization to improve the dependability of HPC cluster systems. However, it is not cost-free and may come with some performance degradation, uncertain QoS and loss of functionalities. Meanwhile, many virtualization-enabled features such as online maintenance and fault tolerance do not require virtualization being always on. This paper proposes a technique, called self-virtualization, that supports dynamically attaching and detaching a full-fledged virtual machine monitor (VMM) beneath an operating system, without disturbing applications thereon, and rid the system of potential overhead when the virtualization is not needed. This technique enables HPC clusters to reap most benefits from virtualization without sacrificing performance. This paper presents the design and implementation of Mercury, a working prototype based on Linux and Xen VMM. Our performance measurement shows that Mercury incurs very little overhead: about 0.2 ms to complete a mode switch, and negligible performance degradation compared to Linux.
Determining if a given arbitrary, wide function can be implemented by a programmable logic block, is unfortunately, in general, a very difficult problem, called the Boolean matching problem. We introduce a novel imple...
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Determining if a given arbitrary, wide function can be implemented by a programmable logic block, is unfortunately, in general, a very difficult problem, called the Boolean matching problem. We introduce a novel implemented algorithm able to map for performance combinational networks using k -LUT based FPGAs. We consider in this paper delay optimum and area optimal k-LUT FPGA mapping algorithms and compare them against a newly developed and recently improved algorithm.
In recent years, the amount of Internet accessible digital audiovisual media files has vastly increased. Therefore the need to describe the media (by way of metadata) has also increased significantly. MPEG-7 (finalize...
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In recent years, the amount of Internet accessible digital audiovisual media files has vastly increased. Therefore the need to describe the media (by way of metadata) has also increased significantly. MPEG-7 (finalized in 2001) provides a comprehensive and rich metadata standard for the description of multimedia content. Unfortunately, a standardized query format does not exist for MPEG-7, or other multimedia metadata. Such a standard would provide for communications between querying clients and databases, supporting cross-modal and cross-media retrieval. The lSO/lEC SC29WG11 committee decided therefore to contribute to this application space by adding such functionality as a new part of the MPEG-7 series of standards. In response to a Call for Proposals, six proposals were submitted. This paper describes the strengths of each proposal as well as the resulting draft standard for the MPEG-7 query format.
Due to the convenience of pervasive information environment, many people use various computing devices to perform plenty kinds of tasks. In the field of education, there are various applications to facilitate learner,...
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ISBN:
(纸本)0769522459
Due to the convenience of pervasive information environment, many people use various computing devices to perform plenty kinds of tasks. In the field of education, there are various applications to facilitate learner, especially for e-learning. However, some computing devices suffer from the limited resources and can not accept rich information content. Therefore, the information content has to be tailored into different kinds of presentation depending on the types of computing devices. Context sensitivity is an application software system's ability to sense and analyze context from various sources. In this paper, we aim to customize static documents using context-sensitive middleware (CSM) to sense the computing device, and then using the agent-based parser to provide suitable content representation dynamically.
We describe a method to automatically discover translation collocations from a bilingual corpus and how these improve a machine translation system. The process of inference of collocations is iterative: An alignment i...
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ISBN:
(纸本)9781586034528
We describe a method to automatically discover translation collocations from a bilingual corpus and how these improve a machine translation system. The process of inference of collocations is iterative: An alignment is used to derive an initial set of collocations, these are used in turn to improve the alignment and this new alignment is used to generate new collocations. This process is repeated until no more collocations are found. The final alignment and the set of collocations are used to train a translation model. We use a model that is based on finite state transducers and word clusters and has been modified to work with collocations in addition to single words. We present experiments in which we show that automatic collocations improve translation quality without prior linguistic information.
Due to the convenience of pervasive information environment, many people use various computing devices to perform plenty kinds of tasks. In the field of education, there are various applications to facilitate learner,...
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Due to the convenience of pervasive information environment, many people use various computing devices to perform plenty kinds of tasks. In the field of education, there are various applications to facilitate learner, especially for e-learning. However, some computing devices suffer from the limited resources and cannot accept rich information content. Therefore, the information content has to be tailored into different kinds of presentation depending on the types of computing devices. Context sensitivity is an application software system's ability to sense and analyze context from various sources. In this paper, we aim to customize static documents using context-sensitive middleware (CSM) to sense the computing device, and then using the agent-based parser to provide suitable content representation dynamically.
To reduce speech recognition error rate we can use better statistical language models. These models can be improved by grouping words into word equivalence classes. Clustering algorithms can be used to automatically d...
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To reduce speech recognition error rate we can use better statistical language models. These models can be improved by grouping words into word equivalence classes. Clustering algorithms can be used to automatically do this word grouping. We present an incremental clustering algorithm and two iterative clustering algorithms. Also, we compare them with previous algorithms. The experimental results show that the two iterative algorithms perform as well as previous ones. It should be pointed out that one of them, that uses the leaving one out technique, has the ability to automatically determine the optimum number of classes. These iterative algorithms are used by the incremental one. On the other hand, the proposed incremental algorithm achieves the best results of the compared algorithms, its behavior is the most regular with the variation of the number of classes and can automatically determine the optimum number of classes.
In the majority of analytical and imitation models analyzing the processes of communication networks functioning, input streams are associated with the well known Poisson's model, describing the most unfavorable c...
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In the majority of analytical and imitation models analyzing the processes of communication networks functioning, input streams are associated with the well known Poisson's model, describing the most unfavorable case of stationary random streams. In practice the input streams are characterized mainly with strong nonstationary processes, impacting the final results of modeling to a significant degree. Having this in mind this report presents an input stream model for simulation modeling and analysis of communication networks.
We study mathematical models and discuss optimization algorithms for the dimensioning of 3G multimedia networks. We propose two models which aims at dimensioning networks with both a radio and a core component. The fi...
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We study mathematical models and discuss optimization algorithms for the dimensioning of 3G multimedia networks. We propose two models which aims at dimensioning networks with both a radio and a core component. The first one is an anticipative one in which we assume that we know a priori the traffic over the planning period and the dimensioning is defined with a best possible call admission control procedure. The second one is a causal one in which we define an explicit call admission control procedure which makes the accept/reject decisions without any knowledge on the forthcoming traffic. We then compare, on an experimental basis, the dimensioning obtained by both models on some multi-service networks.
High resolution requirements for airport surface traffic monitoring with lightweight, small, all-weather sensors call for the use of a network of millimetre-wave radars to perform the surveillance function in the surf...
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High resolution requirements for airport surface traffic monitoring with lightweight, small, all-weather sensors call for the use of a network of millimetre-wave radars to perform the surveillance function in the surface movement control and guidance system. In this paper a W-band radar employed as the basic sensor is described. Some results of recent and present field trials are reported.
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