检索结果-内蒙古大学图书馆

作者： E.S. Yu C.Y.R. Chen School of Computer and Information Sciences Syracuse University Syracuse NY USA High Performance Distributed Computing Lab Department of Electrical and Computer Engineering Syracuse University Syracuse NY USA

Broadband ISDN has made possible a variety of new multimedia services, but also created new problems for congestion control, due to the bursty nature of traffic sources. Lazar and Pacifici (1991) showed that traffic prediction is able to alleviate this problem. The traffic prediction model in their framework is a special case of the Box-Jenkins ARIMA model. In this paper, we propose a neural network approach for traffic prediction. A (1,5,1) backpropagation feedforward neural network is trained to capture the linear and nonlinear regularities in several time series. A comparison between the results from the neural network approach and the Box-Jenkins approach is also provided. The nonlinearity used in this paper is chaotic. We have designed a set of experiments to show that a neural network's prediction performance is only slightly affected by the intensity of the stochastic component (noise) in a time series. We have also demonstrated that a neural network's performance should be measured against the variance of the noise, in order to gain more insight into its behavior and prediction performance. Based on experimental results, we then conclude that the neural network approach is an attractive alternative to traditional regression techniques as a tool for traffic prediction.< >

关键词： Telecommunication traffic Neural networks Communication system traffic control Traffic control Predictive models B-ISDN Backpropagation Feedforward neural networks Chaos Stochastic resonance

来源：评论

学校读者我要写书评

暂无评论

A network clustering algorithm for detection of protein families

A network clustering algorithm for detection of protein fami...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Jiang Xie Minchao Wang Dongbo Dai Huiran Zhang Wu Zhang School of Computer Engineering and Science Shanghai University Shanghai China Department of Mathematics University of California Irvine Irvine CA USA School of Computer Engineering and Science High Performance Computing Center Shanghai University Shanghai China

Detection of protein families in large scale database is a difficult but important biological problem. Computational clustering methods can effectively address the problem. Although there exist many clustering algorithms, most of them are just based on the threshold. Their computational performances are affected by the weight distribution greatly, and they are only valid for some special networks. A new network clustering algorithm, Markov Finding and Clustering (MFC), is proposed to cluster the proteins into their functionally specific families accurately in this paper. The MFC algorithm makes an improvement in the random walk process and reduces the affection of the noise on the clustering result. It has a good performance on these networks which are not well addressed by existing algorithms sensitive to the noise. Finally, experiments on the protein sequence datasets demonstrate that the algorithm is effective in the detection of protein families and has a better performance than the current algorithms.

关键词： Clustering algorithms Proteins Educational institutions Noise Accuracy Bioinformatics Legged locomotion

来源：评论

学校读者我要写书评

暂无评论

Unequal Failure Protection Coding Technology for Cloud Storage Systems

Unequal Failure Protection Coding Technology for Cloud Stora...

引用

IEEE International Conference on Cluster computing

作者： Yupeng Hu Yonghe Liu Wenjia Li Nong Xiao Zheng Qin Shu Yin College of Computer Science and Electronic Engineering Hunan University China Department of Computer Science and Engineering UT-Arlington USA Department of Computer Science New York Institute of Technology USA State Key Laboratory of High Performance Computing National University of Defense Technology China

ISBN: (纸本)9781509036547

In recent years, erasure codes have become the de facto standard for data protection of large scale distributed cloud storage systems at the cost of an affordable storage overhead. While traditional erasure coding schemes, such as Reed-Solomon codes, suffer from high reconstruction cost and I/Os. The recent past has seen a plethora of efforts to optimize the tradeoff between the reconstruction cost, I/Os and storage overhead. Quietly different from all prior studies, in this paper, our erasure coding technology makes the first attempt to take advantage of the unequal failure rates across the disks/nodes to optimize the reconstruction performance and system reliability. Specifically, our proposed technology, the Unequal Failure Protection based Local Reconstruction Code (UFP-LRC) divides the data blocks into several unequal-sized groups with local parities, assigning the data blocks stored on more failure-prone disks/nodes into the smaller-sized group, so as to provide unequal failure protection for each group. In this way, by exploiting the nonuniform local parity degrees, the proposed UFP-LRC enables the data blocks that are stored on more failure-prone disks/nodes to tolerate a greater number of failures while suffer from less repair cost than others, leading to a substantial improvement of overall repair performance and reliability for cloud storage system. We perform numerical analysis and build a prototype storage system to verify our approach. The analytical results show that the UFPLRC technique gradually outperforms LRC along the increase of failure rate ratio. Also, extensive experiments show that, when compared to LRC, UFP-LRC is able to achieve a 10% to 13% improvement in throughput, and a 8% to 12% reduction in decoding latency, while retaining a comparable overall reliability.

关键词： Cloud computing Encoding Maintenance engineering computer science Facebook Redundancy

来源：评论

学校读者我要写书评

暂无评论

MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers

MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-...

引用

Supercomputing Conference

作者： Kiran Ranganath Joshua D. Suetterlein Joseph B. Manzano Shuaiwen Leon Song Daniel Wong Department of Electrical and Computer Engineering University of California Riverside CA USA High-Performance Computing Group Pacific Northwest National Lab WA USA Future System Architecture Lab School of Computer Science University of Sydney Sydney Australia

ISBN: (数字)9781450384421

ISBN: (纸本)9781665483902

Multi-accelerator servers are increasingly being deployed in shared multi-tenant environments (such as in cloud data centers) in order to meet the demands of large-scale compute-intensive workloads. In addition, these accelerators are increasingly being inter-connected in complex topologies and workloads are exhibiting a wider variety of inter-accelerator communication patterns. However, existing allocation policies are ill-suited for these emerging use-cases. Specifically, this work identifies that multi-accelerator workloads are commonly fragmented leading to reduced bandwidth and increased latency for inter-accelerator communication. We propose Multi-Accelerator Pattern Allocation (MAPA), a graph pattern mining approach towards providing generalized allocation support for allocating multi-accelerator workloads on multi-accelerator servers. We demonstrate that MAPA is able to improve the execution time of multi-accelerator workloads and that MAPA is able to provide generalized benefits across various accelerator topologies. Finally, we demonstrate a speedup of 12.4% for 75th percentile of jobs with the worst case execution time reduced by up to 35% against baseline policy using MAPA.

关键词： Network topology Processor scheduling high performance computing Graphics processing units Throughput Hardware Topology

来源：评论

学校读者我要写书评

暂无评论

Implementation of a biology data translation system on grid environments

Implementation of a biology data translation system on grid ...

引用

International Conference on Information Technology: Research and Education (ITRE)

作者： Chao-Tung Yang Yi-Chun Hsiung Heng-Chuan Kan Department of Computer Science and Infirmation Engineering Tunghai University Taichung Taiwan National Center for High-performance Computing Biotechnology Group South Region Office Shinshi Taiwan

ISBN: (纸本)0780389328

Biological data exists all over the world as various Web services, which provide biologists with much useful information. However, heterogeneous data formats present a technical hurdle for biologists to fully take advantage of the information. It needs some power tools to handle this issue. The grid technology could help common biology tools with high performance and high throughput. Even so, the data formats produced from various biology tools are heterogeneous. The process of information integration of heterogeneous biological data is complex and difficult. This paper describes an approach to solve this problem by using XML technologies combine with BioGrid system. We use BioJava to integrate with our system for translating data into XML format. Finally, an example is used to illustrate how these techniques can come together in integrating heterogeneous biological data sources.

关键词： XML Bioinformatics Databases Biology computing Grid computing Data analysis Genomics Biotechnology Proteins computer science

来源：评论

学校读者我要写书评

暂无评论

Three-dimensional model on thermal response of skin subject to laser heating

引用

computer Methods in Biomechanics and Biomedical engineering 2005年第2期8卷 115-125页

作者： Shen, Wensheng Zhang, Jun Yang, Fuqian Laboratory for High Performance Scientific Computing and Computer Simulation Department of Computer Science University of Kentucky Lexington KY 40506-0046 United States Department of Chemical and Materials Engineering University of Kentucky Lexington KY 40506-0046 United States

A three-dimensional (3D) multilayer model based on the skin physical structure is developed to investigate the transient thermal response of human skin subject to laser heating. The temperature distribution of the skin is modeled by the bioheat transfer equation, and the influence of laser heating is expressed as a source term where the strength of the source is a product of a Gaussian shaped incident irradiance, an exponentially shaped axial attenuation, and a time function. The water evaporation and diffusion is included in the model by adding two terms regarding the heat loss due to the evaporation and diffusion, where the rate of water evaporation is determined based on the theory of laminar boundary layer. Cryogen spray cooling (CSC) in laser therapy is studied, as well as its effect on the skin thermal response. The time-dependent equation is discretized using the finite difference method with the Crank-Nicholson scheme and the stability of the numerical method is analyzed. The large sparse linear system resulted from discretizing the governing partial differential equation is solved by a GMRES solver and the expected simulation results are obtained. © 2005 Taylor & Francis Ltd.

关键词： Mass transfer

来源：评论

学校读者我要写书评

暂无评论

PromisQoS: an architecture for delivering QoS to high-performance applications on Myrinet clusters

PromisQoS: an architecture for delivering QoS to high-perfor...

引用

Conference on Local computer Networks (LCN)

作者： J. Neelamegam S. Chakravarthi M. Apte A. Skjellum High Performance Computing Laboratory Department of Computer Science and Engineering Mississippi State University MS USA MPI Software Technology Inc. Starkville MS USA

Clusters of workstations are being extensively used for solving computationally intensive scientific problems. However, there is limited support for quality of service (QoS) based distributed computing on commercial off- the-shelf (COTS) clusters. This limitation has restricted successful deployment of distributed real-time high-performance computing applications to customized and dedicated embedded multi-processor systems. This paper describes research work that attempts to provide a cluster platform that can guarantee access to computational and communication resources to distributed applications. The authors have developed PromisQoS, an architecture that supports execution of hard real-time distributed applications on a Linux cluster while providing high-throughput and low-latency communication using Myrinet. PromisQoS consists of the following major components - Hare, BDM-RT and Turtle. Hare is a prototype implementation of time-based QoS channels specified by the real-time message passing interface (MPI/RT 1.1) standard. BDM-RT is a low-level messaging library on Myrinet that provides deterministic communication latency and bandwidth on Myrinet. Turtle, a variant of RT-Linux, is the real-time operating system that provides guaranteed computation time. This work demonstrates that it is possible to deploy hard real-time distributed applications on COTS clusters and underlines the significance of the MPI/RT API in the realm of distributed high-performance computing applications that require QoS.

关键词： Quality of service Distributed computing computer architecture Real time systems computer applications Workstations Embedded computing Linux Prototypes Message passing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：