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Proceedings - 6th IEEE international conference on e-Science Workshops, e-ScienceW 2010 2010年 117-122页

作者： Wöhrer, Alexander Mehofer, Eduard Brezany, Peter University of Vienna Faculty of Computer Science Department of Scientific Computing Vienna Austria

ISBN: (纸本)9780769542959

Modern scientific collaborations require large-scale data mining and integration processes. Their investigations involve multi-disciplinary expertise and large-scale computational experiments on top of large amounts of data that are located in distributed data repositories running various software systems, and managed by different organizations. Higher-level dataflow languages are used on top of parallel dataflow systems to enable faster program development and more maintainable code. Logical and physical optimization should be applied prior to its execution to improve performance. In this paper we present the rationale, theory, design and application of logical optimization of dataflows for data mining and integration processes. A dataflow model is defined and several optimization algorithms, namely dead elements elimination, process re-ordering, parallelization, and data by-passing are developed. The first research prototype of the framework has been implemented in the context of the ADMIRE Data Mining and Integration Process Designer for logical optimization of specifications expressed in the DISPEL language developed in the ADMIRE project. © 2010 IEEE.

关键词： Data integration

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Large Subsea Observatory for Earth-Ocean Science: Challenges of Multidisciplinary Integration Across Hardware, Software, and People networks

Large Subsea Observatory for Earth-Ocean Science: Challenges...

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Washington State conference and Trade Center (WSCTC)

作者： Barnes, Christopher R. Best, Mairi M. R. Johnson, Fern R. Pirenne, Benoit Univ Victoria NEPTUNE Canada Victoria BC V8W 2Y2 Canada

ISBN: (纸本)9781424443338

NEPTUNE Canada has installed and is operating a regional cabled ocean observatory from the coast across the northern Juan de Fuca Plate in the northeastern Pacific. Installation of the first suite of instruments and connectivity equipment was completed in 2009, so this system now provides the continuous power and bandwidth to collect integrated data on physical, chemical, geological, and biological gradients at temporal resolutions relevant to the dynamics of the earth-ocean system. The building of this facility integrates hardware, software, and people networks. Hardware progress to date includes: installation of the 800km powered fiber-optic backbone in fall 2007 (10kV DC and 10Gbsec communications);technological development of Nodes and Junction Boxes;acquisition/development and testing of Instruments;development of mobile instrument platforms such as a) a Vertical Profiler (NGK Ocean, Japan) and b) a Crawler (Jacobs University, Bremen);and integration of over a thousand components into an operating subsea sensor system. Nodes, extension cables, junction boxes, and instruments were installed at 4 out of 5 locations in 2009;the fifth Node (Endeavour Ridge) will be instrumented in September 2010. In parallel, software and hardware systems have been developed for acquiring, archiving, and delivering the continuous real-time data through the Internet to the world -already many terabytes of data (about 60TB/yr). A web environment (Oceans 2.0) to combine this data access with analysis and visualization, collaborative tools, interoperability, and instrument control is being released. Finally, a network of scientists and technicians are contributing to the process in every phase, and data users already number in the thousands. Initial experiments were planned through a series of workshops and international proposal competitions. At inshore Folger Passage, Barkley Sound (17-100m), understanding controls on biological productivity help evaluate the effects that marine proc

关键词： Barkley Canyon Bremen Crawler Endeavour Ridge Jacobs University Japan NEPTUNE Canada NGK Ocean ODP 889 site Vertical Profiler biological activity biological processes biological productivity buried gas hydrates chemical activity circulation obviation retrofit kits connectivity equipment continuous power convection cross-shelf sediment transport crustal pressure crustal temperature data flow earth-ocean system earthquakes earthquakes extension cables fiber-optic backbone geophysics computing hardware system high resolution seismic information hydrothermal convection hydrothermal processes inshore Folger Passage junction boxes large subsea observatory marine mammals marine processes midcontinental slope midplate ODP 1026-7 mobile instrument platforms northeastern Pacific northern Juan de Fuca Plate oceanic crust oceanographic equipment oceanographic regions open ocean tsunami amplitude propagation direction regional cabled ocean observatory regional plate motions regional plate strain seismology shelf-slope break slope failures software system subsea sensor system tectonic processes tectonics temporal resolutions tsunami tsunami system volcanic processes volcanology

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Towards Minimizing Average Finish Time of P2P File Delivery Under Peer Leaving

Towards Minimizing Average Finish Time of P2P File Delivery ...

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international conference on P2P, parallel, Grid, Cloud and Internet computing (3PGCIC)

作者： Chun-Hao Wen Richard Chun-Hung Lin Department of Computer Science and Engineering National Sun Yat-sen University Kaohsiung Taiwan

Optimized Water Filling scheduling (OWF) has been studied previously for no peer leaving Peer-to-Peer (P2P) network, where the problem of efficiently delivering a common set of data from a single base station to multiple users that have heterogeneous uploading capacity was examined. In the absence of peer leaving, it has been demonstrated that OWF can achieve significant performance improvement by exploiting the optimal tradeoff between augment of last finish time and reduction of average finish time. However, peer leaving is a typical behavior of P2P file sharing network, and minimizing average finish time combined with the effects of peer leaving necessitates a more complex scheduling policy. In this work, we extend their studies to P2P networks with users are subject to leave when they complete the data gathering. A simple scheduling method, named reversed water filling method (RWF) is proposed to adapt problem of peer leaving. We also examine the finish time and total network access time of peers under different file distribution strategies. The results show that RWF method yields significant shorter average finish time and total network access time than its predecessors and all other known file delivery methods under peer leaving condition. The results provide fundamental insights of scheduling for improving performance of P2P systems.

关键词： Servers Peer to peer computing Optimal scheduling Job shop scheduling Internet Processor scheduling

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Some Thoughts on the Legal Background of the Continuously Increasing Privacy Risk in Information Systems and on How to Deal with It

Some Thoughts on the Legal Background of the Continuously In...

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international conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Gerald Quirchmayr Chrsitopher C. Wills School of Computer and Information Science University of South Australia Mawson Lakes Australia Department of Distributed and Multimedia Systems University of Technology Vienna Vienna Austria Faculty of Computing Information Systems and Mathematics Kingston University Kingston Upon Thames UK

This paper tries to give an overview of the rising concerns raised by the issue of privacy protection that is associated with the European Data Retention Directive. After relating this risk to the requirements as stated in the European Data Protection Directive, an approach for a security-integrated view on the design of information systems is discussed. The paper then finishes with an outlook on the possible impact on IT governance.

关键词： Law Legal factors Information systems Data privacy Protection Government Surveillance Humans Terrorism Computer networks

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Optimized information discovery using self-adapting indices over distributed Hash Tables

Optimized information discovery using self-adapting indices ...

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IEEE international conference on Performance, computing and Communications (IPCCC)

作者： Faraz Memon Daniel Tiebler Frank Dürr Kurt Rothermel IPVS–Distributed Systems Department Universitat Stuttgart Stuttgart Germany

distributed Hash Table (DHT)-based peer-to-peer information discovery systems have emerged as highly scalable systems for information storage and discovery in massively distributed networks. Originally DHTs supported only point queries. However, recently they have been extended to support more complex queries, such as multiattribute range (MAR) queries. Generally, the support for MAR queries over DHTs has been provided either by creating an individual index for each data attribute or by creating a single index using the combination of all data attributes. In contrast to these approaches, we propose to create and modify indices using the attribute combinations that dynamically appear in MAR queries in the system. In this paper, we present an adaptive information discovery system that adapts the set of indices according to the dynamic set of MAR queries in the system. The main contribution of this paper is a four-phase index adaptation process. Our evaluations show that the adaptive information discovery system continuously optimizes the overall system performance for MAR queries. Moreover, compared to a non-adaptive system, our system achieves several orders of magnitude improved performance.

关键词： Monitoring Integrated circuits Adaptive systems Engines Indexing Peer to peer computing

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Finding Tropical Cyclones on a Cloud computing Cluster: Using parallel Virtualization for Large-Scale Climate Simulation Analysis

Finding Tropical Cyclones on a Cloud Computing Cluster: Usin...

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IEEE international conference on Cloud computing Technology and Science (CloudCom)

作者： D. Hasenkamp A. Sim M. Wehner K. Wu Lawrence Berkeley National Laboratory USA

Extensive computing power has been used to tackle issues such as climate changes, fusion energy, and other pressing scientific challenges. These computations produce a tremendous amount of data, however, many of the data analysis programs currently only run a single processor. In this work, we explore the possibility of using the emerging cloud computing platform to parallelize such sequential data analysis tasks. As a proof of concept, we wrap a program for analyzing trends of tropical cyclones in a set of virtual machines (VMs). This approach allows the user to keep their familiar data analysis environment in the VMs, while we provide the coordination and data transfer services to ensure the necessary input and output are directed to the desired locations. This work extensively exercises the networking capability of the cloud computing systems and has revealed a number of weaknesses in the current cloud system software. In our tests, we are able to scale the parallel data analysis job to a modest number of VMs and achieve a speedup that is comparable to running the same analysis task using MPI. However, compared to MPI based parallelization, the cloud-based approach has a number of advantages. The cloud-based approach is more flexible because the VMs can capture arbitrary software dependencies without requiring the user to rewrite their programs. The cloud-based approach is also more resilient to failure, as long as a single VM is running, it can make progress while as soon as one MPI node fails the whole analysis job fails. In short, this initial work demonstrates that a cloud computing system is a viable platform for distributed scientific data analyses traditionally conducted on dedicated supercomputing systems.

关键词： Meteorology Virtual machining Lead Analytical models Data models Tropical cyclones Computational modeling

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Why collisions happen: A pathology of CSMA for wireless sensor networks in high contention

Why collisions happen: A pathology of CSMA for wireless sens...

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international conference on Networked Sensing Systems (INSS)

作者： Henoc Agbota Computing Department Lancaster University UK

Contention is highly prevalent in wireless sensor network applications, especially those where the measured physical phenomenon is triggered by spatially and temporally co-located events, such as in distributed acoustic localisation. As a fundamental performance aspect, characterising and understanding the impact of contention on the packet reception rate is an important step towards building robust real-world communication protocols. As a step forward, based on measurements taken with CC2420-equipped iMote2 nodes, this paper empirically identifies two areas of packet reception with contrasting link characteristics in relation to the contention level. It also reveals the “deaf node problem”, which causes conflicting carrier sense results and can thereby lead to packet collisions, even in optimal topologies.

关键词： Lead Acoustic measurements Multiaccess communication Wireless communication Demodulation Protocols Encryption

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Embedding a Neural Network into WSN furniture

Embedding a Neural Network into WSN furniture

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international conference on Hybrid Intelligent Systems (HIS)

作者： Symone Gomes Soares Adson Ferreira da Rocha Talles Marcelo G. de A. Barbosa Rui Alexandre de Matos Araújo Systems and Robotics Institute University of Coimbra Coimbra Portugal Department of Electrical Engineering University of Brasilia Brasilia Brazil Department of Computing Pontifical Catholic University of Goiás Goiânia Brazil

Wireless Sensor networks (WSN) is an emerging technology that is developed with a large number of useful applications. On the other hand, Artificial Neural networks (ANN) have found many successful applications in nonlinear system and control, digital communication, pattern recognition, pattern classification, etc. There are many similarities between WSN and ANN. For example, the sensor node itself can be seen as a neuron since the WSN application show characteristics such as distributed processing, massive parallelism, adaptively, inherent contextual information processing, fault tolerance and low computation. This paper examines the possibility of embedding ANN and WSN into a Smart Table. Prototypal results have shown that ANN models are good candidates for using it deployed into low cost System-on-a-Chip (SoC).

关键词： Artificial neural networks Wireless sensor networks Neurons Home appliances Computational modeling Microcontrollers Training

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Improving simulation through advanced computing techniques: Grid computing and simulation interoperability 10

Improving simulation through advanced computing techniques: ...

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Simulation Winter conference

作者： Simon J. E. Taylor Navonil Mustafee Shane Kite Chris Wood Stephen J. Turner Steffen Straßburger ICT Innovation Group School of Information Systems Computing and Mathematics Uxbridge UK School of Business and Economics Swansea University Swansea UK Saker Solutions Upper Courtyard Alcester UK Saker Solutions Alcester UK Swansea University School of Business and Economics Wales UK Nanyang Technological University Parallel & Distributed Computing Centre School of Computer Engineering Singapore SINGAPORE Technische Universitat Ilmenau Ilmenau ThÃ¼ringen DE

ISBN: (纸本)9781424498642

Today, due to exciting developments in advanced computing techniques and technologies, many scientists can now make use of dedicated high speed networks and high performance computing. This so-called `e-Science' in enabling scientist across many fields to work together in global virtual research communities. What do these advancements mean for modeling and simulation? This advanced tutorial instigates two key areas that are affecting the way M&S projects are being developed and deployed. Grid computing addresses the use of many computers to speed up applications. Simulation Interoperability deals with linking together remote simulations and/or speeding up the execution of a single run. Through the use of case studies we hope to show that both these areas are making a major impact on the practice of M&S in both industry and science, as well as in turn supporting the future capabilities of e-Science.

关键词： Biological system modeling Computational modeling Grid computing Analytical models Middleware Mathematical model Software

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An Energy-Efficient Self-Deployment Scheme in Intelligent Mobile Sensor networks

An Energy-Efficient Self-Deployment Scheme in Intelligent Mo...

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international conference on Multimedia and Ubiquitous Engineering (MUE)

作者： Chan-Myung Kim Yong-hwan Kim Youn-Hee Han Heon-Jong Lee Young-Sik Jeong Laboratory of Intelligent Networks Advanced Technology Research Center Korea University of Technology and Education Cheonan South Korea CoreBell Inc. Daejeon South Korea Grid Computing Laboratory Wonkwang University Iksan South Korea

In traditional static wireless sensor networks, it is sometimes impossible to deploy the sensors manually when they are distributed in unexploited, hostile, or disaster areas. If each sensor has the locomotion capability, it can re-deploy itself using the location information of neighbor sensors. In our previous study, we showed that moving sensors to the centroids of their Voronoi polygon generated by the location information of neighbor sensors is efficient for expanding the coverage area. In this paper, we present an improved potential-field-based selfdeployment scheme to utilize the attractive force generated from the centroid of a sensor's local Voronoi polygon as well as the repulsive force usually used in the traditional potential-fieldbased scheme. Simulation results show that our scheme can achieve higher coverage and less movement in shorter time than the traditional potential-field-based scheme.

关键词： Force Sensors Wireless sensor networks Mathematical model Equations Measurement Mobile communication

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