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IEEE International Conference on Cloud computing, CLOUD

作者： Xianqiang Bao Ling Liu Nong Xiao Yang Zhou Qi Zhang State Key Laboratory of High Performance Computing National University of Defense Technology Hunan China Distributed Data Intensive Systems Lab Georgia Institute of Technology Atlanta Georgia USA

NoSQL systems have become the vital components to deliver big data services in the Cloud. However, existing NoSQL systems rely on experienced administrators to configure and tune the wide range of configurable parameters in order to achieve high performance. In this paper, we present a policy-driven configuration management system for NoSQL systems, called PCM. PCM can identify workload sensitive configuration parameters and capture the tuned parameters for different workloads as configuration policies. PCM also can be used to analyze the range of configuration parameters that may impact on the runtime performance of NoSQL systems in terms of read and write workloads. The configuration optimization recommended by PCM can enable NoSQL systems such as HBase to run much more efficiently than the default settings for both individual worker node and entire cluster in the Cloud. Our experimental results show that HBase under the PCM configuration outperforms the default configuration and some simple configurations on a range of workloads with offering significantly higher throughput.

关键词： Phase change materials Tuning Throughput Loading Compaction Optimization Monitoring

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Noise impact of single-event upsets on an FPGA-based digital filter

Noise impact of single-event upsets on an FPGA-based digital...

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International Conference on Field Programmable Logic and Applications

作者： Brian H. Pratt Michael J. Wirthlin Michael Caffrey Paul Graham Keith Morgan NSF Center of High Performance Reconfigurable Computing (CHREC) Department of Elec. & Comp. Engineering Brigham Young University Provo UT USA ISR-3 Space Data Systems Los Alamos National Laboratory Los Alamos NM USA

Field-programmable gate arrays are well-suited to DSP and digital communications applications. SRAM-based FPGAs, however, are susceptible to radiation-induced single-event upsets (SEUs) when deployed in space environments. These effects are often handled with the area and power-intensive TMR mitigation technique. This paper evaluates the effects of SEUs in the FPGA configuration memory as noise in a digital filter, showing that many SEUs in a digital communications system cause effects that could be considered noise rather than circuit failure. Since DSP and digital communications applications are designed to withstand certain types of noise, SEU mitigation techniques that are less costly than TMR may be applicable. This could result in large savings in area and power when implementing a reliable system. Our experiments show that, of the SEUs that affected the digital filter with a 20 dB SNR input signal, less than 14% caused an SNR loss of more than 1 dB at the output.

关键词： Digital filters Single event transient Working environment noise Field programmable gate arrays Digital communication Circuit noise Digital signal processing Power system reliability Single event upset Signal to noise ratio

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Virtual storage image implementation in a SAN system to improve storage capacity, fault tolerance and bandwidth

Virtual storage image implementation in a SAN system to impr...

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INTERMAG 2006 - IEEE International Magnetics Conference

作者： Deng, Y. Wang, F. Zhou, K. Wu, S. Center for Grid Computing Cambridge-Cranfteld High Performance Computing Facilities Cranfield University Campus Bedfordshire MK430AL United Kingdom Key Laboratory of Data Storage System Ministry of Education Huazhong University of Science and Technology Wuhan 430074 China

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ISBN: (纸本)1424414792

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Storage management mechanism for a scalable streaming media system

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WSEAS Transactions on Computers 2006年第4期5卷 746-752页

作者： Deng, Yuhui Wang, Frank Feng, Dan Helian, Na Milward, Dave Thompson, Steve Center for Grid Computing Cambridge-Cranfield High Performance Computing Facilities Cranfield University Campus Bedfordshire MK43 0AL United Kingdom Key Laboratory of Data Storage System Ministry of Education Huazhong University of Science and Technology Wuhan 430074 China London Metropolitan University London United Kingdom Xyratex United Kingdom

Streaming media is pervasive on the Internet now and continues to grow rapidly. A large scale streaming media system may demand thousands of disks to satisfy both the bandwidth and storage capacity requirements imposed by thousands of concurrent clients. While performance has long been the focus of large scale storage systems research, manageability has become the dominant criterion in evaluating storage solutions, as the cost of storage management outweighs the cost of the storage devices themselves by a factor of three to eight. This paper designs and implements a highly reliable and available distributed media data oriented innovative Storage Management Mechanism (SMM) in a scalable streaming media system. All heterogeneous storage resources across the system are aggregated as a single logical view which strikes a good balance between a distributed data storage and centralized storage management. The centralized SMM dramatically simplifies the storage administration as the size and complexity of the streaming media system grows. Fault tolerance and dynamic load balance at the disk level and system level are achieved to provide high reliability and availability due to the SMM.

关键词： Multimedia systems

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Virtual Storage Image Implementation in a SAN System to Improve Storage Capacity, Fault Tolerance and Bandwidth

Virtual Storage Image Implementation in a SAN System to Impr...

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Intermag 2006 (INTERMAG 2006), vol.2

作者： Y. Deng F. Wang K. Zhou S. Wu Center for Grid Computing Cambridge-Cranfield High Performance Computing Facility Cranfield Bedfordshire UK Key Laboratory of Data Storage System Ministry of Education School of Computer Huazhong University of Science and Technology Wuhan China

With a SAN (Storage Area Network), large-capacity storage can be shared among multiple hosts at high speed. The potential market for SAN is enormous, but the technology won't become ubiquitous overnight. The complex administration is indicated by many researches as a key barrier to adopt SAN solutions. This paper designs and implements a virtual storage image (VSI) that aggregates storage space located on heterogeneous storage nodes (see Fig.1)in a Fibre Channel point-to-point (FC-P2P) SAN.

关键词： Image storage Storage area networks Fault tolerant systems Bandwidth File systems Space technology Aggregates Linux Fault tolerance Load management

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A review of tele-immersive applications in the CAVE research network

A review of tele-immersive applications in the CAVE research...

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IEEE Annual International Symposium Virtual Reality

作者： J. Leigh A.E. Johnson T.A. DeFanti M. Brown M.D. Ali S. Bailey A. Banerjee P. Benerjee Jim Chen K. Curry J. Curtis F. Dech B. Dodds I. Foster S. Fraser K. Ganeshan D. Glen R. Grossman R. Heiland J. Hicks A.D. Hudson T. Imai M.A. Khan A. Kapoor R.V. Kenyon J. Kelso R. Kriz C. Lascara X. Liu Y. Lin T. Mason A. Millman K. Nobuyuki K. Park B. Parod P.J. Rajlich M. Rasmussen M. Rawlings D.H. Robertson S. Thongrong R.J. Stein K. Swartz S. Tuecke H. Wallach Hong Yee Wong G.H. Wheless National Center for Supercomputing Applications University슠of슠Illinois Urbana-Champaign USA Electronic Visualization Laboratory University of Illinois Chicago USA National Center for Data-Mining University of Illinois Chicago USA Industrial Virtual Reality Laboratory University of Illinois Chicago USA Northwestern University USA Virginia Tech Antenna Group USA Searle Argonne National Laboratory USA Purdue University Indiana University USA Center for Coastal Physical Oceanography Old Dominion University USA Institute of High Performance Computing National University of Singapore Singapore Virtual Reality in Medicine Laboratory University of Illinois Chicago USA Tohwa University Japan

This paper presents an overview of the tele-immersion applications that have been built by collaborators around the world using the CAVERNsoft toolkit, and the lessons learned from building these applications. In particular the lessons learned are presented as a set of rules-of-thumb for developing tele-immersive applications in general.

关键词： Intelligent networks Laboratories Visualization Virtual reality Collaborative work Virtual environment Image databases Industrial training Computer networks Sea measurements

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Beowulf: harnessing the power of parallelism in a pile-of-PCs

Beowulf: harnessing the power of parallelism in a pile-of-PC...

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IEEE Conference on Aerospace

作者： D. Ridge D. Becker P. Merkey T. Sterling NASA Goddard Space Flight Center USRA/Center of Excellence in Space Data and Information Sciences Greenbelt MD USA High Performance Computing Systems Group Center for Advanced Computing Research Jet Propulsion Laboratory California Institute of Technology

The rapid increase in performance of mass market commodity microprocessors and significant disparity in pricing between PCs and scientific workstations has provided an opportunity for substantial gains in performance to cost by harnessing PC technology in parallel ensembles to provide high end capability for scientific and engineering applications. The Beowulf project is a NASA initiative sponsored by the HPCC program to explore the potential of Pile-of-PCs and to develop the necessary methodologies to apply these low cost system configurations to NASA computational requirements in the Earth and space sciences. This paper describes the technologies and methodologies employed to achieve the increased performance of PCs. Both opportunities afforded by this approach and the challenges confronting its application to real-world problems are discussed in the framework of hardware and software systems as well as the results from benchmarking experiments. Finally, near term technology trends and future directions of the Pile-of-PCs concept are considered.

关键词： Space technology Personal communication networks Costs NASA Parallel processing Microprocessors Pricing Workstations performance gain Geoscience

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Maximum entropy-driven bayesian reasoning in data classification

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Telematics and Informatics 1994年第4期11卷 295-308页

作者： Bonavito, N.L. Gordon, C.L. Inguva, R. Serafino, G.N. Barnes, R.A. High performance Computing Branch Space Data and Computing Division NASA Goddard Space Flight Center Greenbelt MD 20771 United States Symbolic Technologies Inc. Riverdale MD 20737 and Laboratory for Atmospheres NASA Goddard Space Flight Center Greenbelt MD 20771 USA University of Woming Department of Physics and Astronomy Laramie WY Riverdale MD 20737 United States Goddard Distributed Active Archive Facility NASA Goddard Space Flight Center Greenbelt MD 20771 United States Mantech Inc. Laboratory for Hydrospheric Processes NASA Goddard Space Flight Center Greenbelt MD 20771 United States

Most signals reaching the mammalian brain are noisy, weak, and degraded so that the corresponding data that are carried by the signals are themselves incomplete and overlapping, and, more likely that not, the product of convolution with nonlinear sources. The attempt to deconvolve these signals so as extracts the maximum meaningful information and make the best possible decisions usually leads to problems that are mathematically known as ill-possible and ill-conditioned. That is, there may exist insufficient information from which to draw unique conclusions, and simultaneously, small uncertainties within the datasets may lead to mutual inconsistencies within the competing hypotheses. How the brain processes signals and attemts to learn from them is a mystery. Under the best of circumstances, the brain can usually perform well when solving problems involving deductive inferencing. However, when attempting to form decisions from incomplete or ambigous pieces of information, if often falls prey to what is referred to as "cognitive illusions". This article illustrates the potential for powerful artificial intelligence (AI) techniques when used in the analysis not only of the formidable problems that now exist in the NASA earth science programs, but also those to be encountered in the future Mission to Planet Earth (MTPE) and Earth Observing System (EOS) programs. These techniques, based on the logical and probabilistic reasoning aspects of plausible inference, stongly emphasize the synergetic relation between data and information. In particular, we address a complex, nonlinear system of under-determined and ill-conditioned equations that arise from the conditions of insufficient and overlapping data. The specific problem involves the estimation of the earth's vertical atmospheric ozone profile over 92 layers from 12 solar backscattered ultraviolet (SBUV) radiation data values. To accomplish this, we employ a given atmospheric radiative transfer function to transform a k

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A self-consistent SDD-NEGF approach for modelling magnetic tunnel junctions

A self-consistent SDD-NEGF approach for modelling magnetic t...

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作者： Siu, Z.B. Jalil, M.B.A. Tan, S.G. Wang, J.-S. Department of Physics Center for Computational Science and Engineering National University of Singapore 117542 Singapore Singapore Data Storage Institute Agency for Science Technology and Research (A STAR) 117608 Singapore Singapore Information Storage Materials Laboratory Electrical and Computer Engineering Department National University of Singapore 117576 Singapore Singapore Computational Nanoelectronics and Nano-device Laboratory Electrical and Computer Engineering Department National University of Singapore 117576 Singapore Singapore Institute of High Performance Computing Agency for Science Technology and Research (A STAR) 138632 Singapore Singapore

Most contemporary work on magnetic tunnel junctions either consider ballistic quantum transport across the tunneling barrer, for instance via the Non Equilibrium Green's Function (NEGF) formalism, or treat the tunneling region as a lump resistance connected to bulk metallic leads in the Spin Drift-Diffusion (SDD) approach. The effects of interfacial barriers and central device physics on the spin accumlation in the leads have largely been ignored in most NEGF calculations. In this work we introduce a self consistent approach that combines the NEGF and SDD methods. We calculate the effects of the barrier potential height and spin orbit interaction on the spin injection from a ferromagnet to a semiconductor through the barrier. © 2006 IEEE.

关键词： Tunnel junctions

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