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IEEE International Conference on e-Science and Grid computing

作者： Maurício Tsugawa Andréa Matsunaga José Fortes Advanced Computing and Information Systems Laboratory Department of Electrical and Computer Engineering University of Florida Gainesville FL USA

With the emergence of multiple cloud providers of Infrastructure-as-a-Service, it becomes possible to envision a near-future when high-performance computing users could combine services from different clouds to access huge numbers of resources. However, as more administrative privileges are exposed to end users, providers are required to deploy network security measures that present challenges to the network virtualization technologies that are needed to enable inter-cloud communication. This paper studies these challenges and proposes techniques to enable unmodified applications on resources across distinct clouds. The techniques are implemented in TinyViNe, an extension to ViNe, a virtual networking technology for distributed resources in different administrative domains. The results of evaluating TinyViNe on a WAN-based testbed across three sites are reported for a bioinformatics application (BLAST) and MPI benchmarks. The results confirm that TinyViNe enables cross-cloud computing while having little impact on application performance. TinyViNe also has auto-configuration and ¿download-and-run¿ capabilities for easy deployment by users who are not knowledgeable about networking.

关键词： computer networks Cloud computing Voice mail Bioinformatics Virtual manufacturing Isolation technology Protection information systems Laboratories USA Councils

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Notes on Data-driven System Approaches

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自动化学报 2009年第6期35卷 668-675页

作者： XU Jian-Xin HOU Zhong-Sheng Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 P.R. China

In this paper, we present several considerations centered around the data-driven system approaches. We briefly explore three main issues: the evolving relationship between off-line and on-line data processing methods, the complementary relationship between the data-driven and model-based methods, and the perspectives of data-driven system approaches. Instead of offering solutions to data-driven system problems, which is impossible at the present level of knowledge and research, in this article we aim at categorizing and classifying open problems, exploring possible directions that may offer alternatives or potentials for the four key fields of interests: control, decision making, scheduling, and fault diagnosis.

关键词：数据驱动数据分析自动化系统分析方法

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Novel directions in Raman amplifier research

Novel directions in Raman amplifier research

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International Conference on information, Communications and Signal Processing

作者： V. Kalavally M. Premaratne I. Rukhlenko T. Win P. Shum M. Tang Department of Electrical and Compute Systems Engineering School of Engineering Monash University Bandar Sunway Selangor Darul Ehsan Malaysia Advanced Computing and Simulation Laboratory (AXL) Department of Electrical and Computer Systems Engineering Monash University Clayton VIC Australia School of Electrical and Electronics Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9781424446568

Raman amplifiers provide a simple and yet powerful platform for optical amplification needs in modern optical communication networks. This paper reviews recent progress in Raman amplifier research and highlights some non-conventional future of the field. Although the low-noise and wavelength-independent gain properties of Raman amplifiers have been long exploited in optical communication networks, researchers strive to tap into the huge potential of non-linear optics to improve reach and performance. Alternative approaches used to enhance the quality of Raman amplified networks such as the use of novel pumping schemes that can ensure uniformity in gain and noise performance are discussed. Finally, the advances in research on Raman amplification in monolithically integrated silicon waveguides which should fuel wide deployment in the coming years are presented.

关键词： Stimulated emission Optical amplifiers Semiconductor optical amplifiers Optical fiber communication Performance gain Optical noise Optical waveguides Power amplifiers Low-noise amplifiers Nonlinear optics

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Implementation of a parallel SAD based wavefront sensor architecture on FPGA

Implementation of a parallel SAD based wavefront sensor arch...

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European Conference on Circuit Theory and Design, ECCTD

作者： Zoltan Kincses Zoltan Nagy Laszlo Orzo Peter Szolgay Gyorgy Mezo Department of Electrical Engineering and Information Systems University of Pannonia Veszprem Hungary Cellular Sensory and Wave Computing Laboratory Computer and Automation Hungarian Academy of Sciences Hungary Heliophysical Observatory Debrecen Hungary

Wavefront aberration caused by turbulent or rapidly changing media can considerably degrade the performance of an imaging system. Adaptive optics can dynamically compensate these wavefront distortions and so provide corrected imaging. We developed an affordable adaptive optic system which combines CMOS sensor and LCOS display technology with the FPGA devices parallel computing capabilities. High speed and accurate wavefront sensor is fundamental part of any adaptive optic system. In this paper, an efficient FPGA implementation of the Sum of Absolute Differences (SAD) algorithm is introduced which accomplish correlation based wavefront sensing. This architecture was implemented on a Spartan-3 FPGA and is capable to measure the incoming wavefront at the speed of sensor data acquisition speed.

关键词： Field programmable gate arrays Adaptive optics Optical imaging Optical sensors Sensor systems Degradation Optical distortion CMOS image sensors Liquid crystal on silicon Displays

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Knowledge acquisition from corresponding domain knowledge transformations

Knowledge acquisition from corresponding domain knowledge tr...

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IEEE International Conference on information Reuse and Integration (IRI)

作者： Michael Armella Isai Michel Lombera Stuart H. Rubin Shu-Ching Chen Gordon Lee Distributed Multimedia Information Systems Laboratory School of Computing and Information Sciences Florida International University Miami FL USA Department of Electrical & Computer Engineering San Diego State University San Diego CA USA SPAWAR Systems Center San Diego CA USA

The capability to efficiently retrieve knowledge in response to specific user queries offers the potential to create decision support systems of unprecedented utility, i.e., systems which can accelerate the learning process. This paper presents such an architecture, the Type 2 Knowledge Amplification by structured expert randomization (T2K) system. This system differs from traditional expert systems in the way knowledge rules are matched with queries. The T2K has the ability to acquire knowledge from corresponding domains to answer queries from domains in which the system has less knowledge. This system also solves the word mismatch problem by modifying queries using word substitutions. This is done through creative transformations and optimizations of knowledge rule antecedents and consequents. By pairing rules with identical antecedents or consequents, we are able to induce new rules from existing knowledge without explicit elicitation from the user. The technique presented in this paper attempts to transform both the rules in the knowledge base as well as the query in order to find a matching action for a specified query.

关键词： Knowledge acquisition Engines Expert systems Distributed computing Automata Humans Multimedia systems Multimedia computing information systems Laboratories

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AAAI 2008 workshop reports

AAAI 2008 workshop reports

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作者： Anand, Sarabjot Singh Bunescu, Razvan Carvcdho, Vitor Chomicki, Jan Conitzer, Vincent Cox, Michael T. Dignum, Virginia Dodds, Zachary Dredze, Mark Furcy, David Gabrilovich, Evgeniy Göker, Mehmet H. Guesgen, Hans Hirsh, Haym Jannach, Dietmar Junker, Ulrich Ketter, Wolfgang Kobsa, Alfred Koenig, Sven Lau, Tessa Lewis, Lundy Matson, Eric Metzler, Ted Mihalcea, Rada Mobasher, Bamshad Pineau, Joelle Poupart, Pascal Raja, Anita Ruml, Wheeler Sadeh, Norman Shani, Guy Shapiro, Daniel Smith, Trey Taylor, Matthew E. Wagstaff, Kiri Walsh, William Zhou, Rong Department of Computer Science University of Warwick United Kingdom School of Electrical Engineering and Computer Science Ohio University United States Microsoft Live Labs United States computer science and engineering University at Buffalo United States Computer science and economics Duke University United States Intelligent Computing group of BBN Technologies Utrecht University Netherlands Department of Computer science Harvey Mudd College United States University of Pennsylvania United States University of Wisconsin United States Yahoo Research PricewaterhouseCoopers Center for Advanced Research United States Department of Computer science School of Engineering and Advanced Technology Massey University New Zealand Departent of Computer science Rutgers University United States Department of Computer Science Dortmund University of Technology. Germany ILOG Rotterdam School of Management Erasmus University Netherlands Donald Bren School of Information and Computer Sciences University of California Irvine United States Depatrment of Computer science University of Southern California United States IBM Almaden Research Center United States Department of Computer Information Technology Southern New Hampshire University United States Computer and Information Technology Program College of Technology Purdue University United States Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computer Science and Engineering University of North Texas United States School of Computing DePaul University United States Department of Computer Science McGill University Canada School of Computer Science University of Waterloo Canada Department of Software and Information Systems University of North Carolina Charlotte United States University of New Hampshire United States Microsoft Research Institute for the Study of Learning and Expertise Applied Reactivity Inc. United States NASA Ames Research Center Carnegie Mellon University West

AAAI was pleased to present the AAAI-08 Workshop Program, held Sunday and Monday, July 13-14, in Chicago, Illinois, USA. The program included the following 15 workshops: Advancements in POMDP Solvers;AI Education Workshop Colloquium;Coordination, Organizations, Institutions, and Norms in Agent systems, Enhanced Messaging;Human Implications of Human-Robot Interaction;Intelligent Techniques for Web Personalization and Recommender systems;Metareasoning: Thinking about Thinking;Multidisciplinary Workshop on Advances in Preference Handling;Search in Artificial Intelligence and Robotics;Spatial and Temporal Reasoning;Trading Agent Design and Analysis;Transfer Learning for Complex Tasks;What Went Wrong and Why: Lessons from AI Research and Applications;and Wikipedia and Artificial Intelligence: An Evolving Synergy. Copyright © 2009, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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CloudBLAST: combining MapReduce and virtualization on distributed resources for bioinformatics applications

CloudBLAST: combining MapReduce and virtualization on distri...

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4th IEEE International Conference on eScience, eScience 2008

作者： Matsunaga, Andréa Tsugawa, Maurício Fortes, José Advanced Computing and Information Systems Laboratory Department of Electrical and Computer Engineering University of Florida PO Box 116200 Gainesville FL 32611-6200 United States

ISBN: (纸本)9780769535357

This paper proposes and evaluates an approach to the parallelization, deployment and management of bioinformatics applications that integrates several emerging technologies for distributed computing. The proposed approach uses the MapReduce paradigm to parallelize tools and manage their execution, machine virtualization to encapsulate their execution environments and commonly used data sets into flexibly deployable virtual machines, and network virtualization to connect resources behind firewalls/NATs while preserving the necessary performance and the communication environment. An implementation of this approach is described and used to demonstrate and evaluate the proposed approach. The implementation integrates Hadoop, Virtual Workspaces, and ViNe as the MapReduce, virtual machine and virtual network technologies, respectively, to deploy the commonly used bioinformatics tool NCBI BLAST on a WAN-based test bed consisting of clusters at two distinct locations, the University of Florida and the University of Chicago. This WAN-based implementation, called CloudBLAST, was evaluated against both non-virtualized and LAN-based implementations in order to assess the overheads of machine and network virtualization, which were shown to be insignificant. To compare the proposed approach against an MPI-based solution, CloudBLAST performance was experimentally contrasted against the publicly available mpiBLAST on the same WAN-based test bed. Both versions demonstrated performance gains as the number of available processors increased, with CloudBLAST delivering speedups of 57 against 52.4 of MPI version, when 64 processors on 2 sites were used. The results encourage the use of the proposed approach for the execution of large-scale bioinformatics applications on emerging distributed environments that provide access to computing resources as a service. © 2008 IEEE.

关键词： MapReduce

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Characterizing user-level network virtualization: performance, overheads and limits

Characterizing user-level network virtualization: performanc...

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4th IEEE International Conference on eScience, eScience 2008

作者： Tsugawa, Maurício Fortes, José A. B. Advanced Computing and Information Systems Laboratory Department of Electrical and Computer Engineering University of Florida PO Box 116200 Gainesville FL 32611-6200 United States

ISBN: (纸本)9780769535357

Connectivity limitations of the current Internet pose challenges to e-Science infrastructure, as communication between resources is of key importance for the sharing of hardware, software and data across geographically distributed institutions. To overcome such limitations many overlay networks have been developed. Existing solutions report performance that can keep up with slow wide-area links-however the question remains as to how overlay networks perform on new high-speed Internet connections. This paper characterizes the performance of user-level packet processing, which is at the core of most overlay networks implementations. To this end, building blocks of packet processing software are identified and characterized, and performance of IP forwarders developed in C and Java are compared through extensive measurements. Factors that affect the performance of overlay networks and limitations of existing solutions are characterized, providing insights on possible improvements. Experimental results show the following: to achieve maximum throughput, only a few microseconds (2 to 5) can be spent in virtual network processing;processing of small packets can limit TCP throughput;and overlays need to be carefully architected as encapsulation overheads can be substantial. © 2008 IEEE.

关键词： Overlay networks

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Characterizing User-Level Network Virtualization: Performance, Overheads and Limits

Characterizing User-Level Network Virtualization: Performanc...

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IEEE International Conference on e-Science and Grid computing

作者： Maurício Tsugawa José A. B. Fortes Advanced Computing and Information Systems Laboratory Advanced Computing and Information Systems Laboratory Department of Electrical and Computer Engineering University of Florida Gainesville FL USA

Connectivity limitations of the current Internet pose challenges to e-Science infrastructure, as communication between resources is of key importance for the sharing of hardware, software and data across geographically distributed institutions. To overcome such limitations many overlay networks have been developed. Existing solutions report performance that can keep up with slow wide-area links - however the question remains as to how overlay networks perform on new high-speed Internet connections. This paper characterizes the performance of user-level packet processing, which is at the core of most overlay networks implementations. To this end, building blocks of packet processing software are identified and characterized, and performance of IP forwarders developed in C and Java are compared through extensive measurements. Factors that affect the performance of overlay networks and limitations of existing solutions are characterized, providing insights on possible improvements. Experimental results show the following: to achieve maximum throughput, only a few microseconds (2 to 5) can be spent in virtual network processing; processing of small packets can limit TCP throughput; and overlays need to be carefully architected as encapsulation overheads can be substantial.

关键词： IP networks Software performance Java Hardware Throughput Peer to peer computing Routing Resource virtualization computer networks Distributed computing

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CloudBLAST: Combining MapReduce and Virtualization on Distributed Resources for Bioinformatics Applications

CloudBLAST: Combining MapReduce and Virtualization on Distri...

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IEEE International Conference on e-Science and Grid computing

作者： Andréa Matsunaga Maurício Tsugawa José Fortes Advanced Computing and Information Systems Laboratory Department of Electrical and Computer Engineering University of Florida Gainesville FL USA

关键词： Application virtualization Resource virtualization Bioinformatics Distributed computing Virtual machining Testing Technology management computer network management Environmental management Resource management

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