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检索条件"任意字段=3rd IEEE International Conference on Distributed Computing in Sensor Systems"

共 5112 条记录，以下是121-130 订阅

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Performance Modeling and Analysis of Object Oriented distributed Software systems: A Necessary Step Toward Software Performance Stability

Performance Modeling and Analysis of Object Oriented Distrib...

引用

3rd ieee/ACS international conference on Computer systems and Applications (AICCSA-05)

作者： Ammar, Reda Abdel-raouf, Amal Fergany, Tahany A. Univ Connecticut Comp Sc & Engr Dept Storrs CT 06269 USA

ISBN: (纸本)9780780387355

Advances in object-oriented (OO) technology and distributed computing generate distributed object oriented software systems. Choosing an efficient design of such software is a multi-criteria decision problem. Performance is a key criterion that makes software developers be able to select the system that best fit their requirements and achieve longer design stability. Classical techniques of performance analysis are either unsuitable or unnatural to capture performance behavior of OO systems. In this paper, we present Performance-Based Model for distributed OO Software (DOOS) and a methodology to analyze and evaluate its performance. The new model evaluates the time cost of DOOS system considering the communication overheads while preserving the OO features such as encapsulations and inheritance.

关键词： software performance stability performance modeling and analysis Object-Oriented software

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distributed Multi-Hop Network Association in Large-Scale Wireless sensor Networks

Distributed Multi-Hop Network Association in Large-Scale Wir...

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33rd ieee international conference on distributed computing systems (ICDCS)

作者： Kim, Hyung-Sin Bang, Jae-Seok Lee, Yong-Hwan Seoul Natl Univ Sch Elect Engn Seoul South Korea Seoul Natl Univ INMC Seoul South Korea

ISBN: (纸本)9781479932474;9780769550237

In this paper, we consider the construction of a large scale wireless sensor network (WSN) by means of distributed network association with scalability. We design a network association mechanism that allows each router to have its own addressing space for unique addressing of its child nodes based on a pre-initialized addressing tree. We also design a device selection algorithm that can locate routers throughout the whole deployment area using a minimum number of routers (i.e., minimizing the energy consumption). Thus, nodes can securely join the network through a sufficient number of neighboring routers, with the use of a uniquely allocated address in a distributed manner. Finally, the performance of the proposed scheme is evaluated by computer simulation, showing remarkable performance improvement over conventional schemes when applied to the construction of a large scale WSN.

关键词： wireless sensor network network association address allocation distributed operation energy consumption

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MQTT-S - A publish/subscribe protocol for Wireless sensor Networks

MQTT-S - A publish/subscribe protocol for Wireless Sensor Ne...

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3rd international conference on Communication System Software and Middleware and Workshop

作者： Hunkeler, Urs Truong, Hong Linh Stanford-Clark, Andy IBM Zurich Res Lab Zurich Switzerland IBM United Kingdom Ltd Hursley England

ISBN: (纸本)9781424417964

Wireless sensor Networks (WSNs) pose novel challenges compared with traditional networks. To answer such challenges a new communication paradigm, data-centric communication, is emerging. One form of data-centric communication is the publish/subscribe messaging system. Compared with other data-centric variants, publish/subscribe systems are common and wide-spread in distributed computing. Thus, extending publish/subscribe systems into WSNs will simplify the integration of sensor applications with other distributed applications. This paper describes MQTT-S [1], an extension of the open publish/subscribe protocol Message Queuing Telemetry Transport (MQTT) [2] to WSNs. MQTT-S is designed in such a way that it can be run on low-end and battery-operated sensor/actuator devices and operate over band width-constraint WSNs such as ZigBee-based networks. Various protocol design points are discussed and compared. MQTT-S has been implemented and is currently being tested on the IBM wireless sensor networking testbed [3]. Implementation aspects, open challenges and future work are also presented.

关键词： Wireless sensor networks

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PERFORMANCE MEASURES FOR distributed computing systems.

PERFORMANCE MEASURES FOR DISTRIBUTED COMPUTING SYSTEMS.

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Proceedings - 3rd international conference on distributed computing systems.

作者： Weitzman, Cay

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distributed adaptive networked system for strain mapping

Distributed adaptive networked system for strain mapping

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3rd international conference on Mobile Ubiquitous computing, systems, Services, and Technologies, UBICOMM 2009

作者： Liang, Jian Lishchynska, Maryna Delaney, Kieran Technologies for Embedded Computing Centre Cork Institute of Technology Rossa Avenue Cork Ireland

ISBN: (纸本)9780769538341

Separately, context-aware sensing and networked sensing systems have been fast progressing research domains. The emergence of wireless sensor networks (WSN) has introduced a way of implementing a distributed self-organized intelligence in myriads of sensing applications. In this work, WSN and sensing technologies are combined to monitor behavior of a target object. The paper presents design and implementation of a distributed adaptive networked system for strain mapping in a wooden table. The system is intended to provide real-time data on strain development in the target object. The strain gauge deployment layout is designed based on comparison between simulated strain results and strain interpolation on various numbers of sensors. Clustering of densely deployed strain sensors, data collection and processing is organized using tiered wireless network. Experiments on capturing the evolution of strain distribution in an object subject to various loading conditions were carried out and results are reported. © 2009 ieee.

关键词： Wireless sensor networks

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distributed facility location algorithms for flexible configuration of wireless sensor networks

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3rd ieee international conference on distributed computing in sensor systems

作者： Frank, Christian Roemer, Kay ETH Dept Comp Sci Zurich Switzerland

ISBN: (纸本)9783540730897

Many self-configuration problems that occur in sensor networks, such as clustering or operator placement for in-network data aggregation, can be modeled as facility location problems. Unfortunately, existing distributed facility location algorithms are hardly applicable to multi-hop sensor networks. Based on an existing centralized algorithm, we therefore devise equivalent distributed versions which, to our knowledge, represent the first distributed approximations of the facility location problem that can be practicably implemented in multi-hop sensor networks with local communication. Through simulation studies, we demonstrate that, for typical instances derived from sensor-network configuration problems, the algorithms terminate in only few communication rounds, the run-time does not increase with the network size, and, finally, that our implementation requires only local communication confined to small network neighborhoods. In addition, we propose simple extensions to our algorithms to support dynamic networks with varying link qualities and node additions and deletions. Using link quality traces collected from a real sensor network deployment, we demonstrate the effectiveness of our algorithms in realistic multi-hop sensor networks.

关键词： Location

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Model-based Scheduling for Stream Processing systems 19

Model-based Scheduling for Stream Processing Systems

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19th ieee international conference on High Performance computing and Communications (HPCC) / 15th ieee international conference on Smart City (SmartCity) / 3rd ieee international conference on Data Science and systems (DSS)

作者： Wang, Yidan Tari, Zahir HoseinyFarahabady, M. Reza Zomaya, Albert Y. RMIT Univ Sch Sci Melbourne Vic Australia Univ Sydney Sch IT Ctr Distributed & High Performance Comp Sydney NSW Australia

ISBN: (纸本)9781538625880

Stream processing is emerging to react to the changing business situations of real-time processing. The main aim of this paradigm is to deal with the huge volume of data in the format of information flows originating from distributed devices. This consequently poses challenges to the scheduling problem in cloud data centers regarding the time-varying velocity of data ingesting and processing. In response to the uncertainties and complexities of streaming data, we propose a model-based scheduling scheme for stream processing systems, capturing the system behavior and providing an optimal allocation strategy to adapt to the changing work conditions. The proposed scheduling policy is implemented in Apache Storm, and micro-benchmarks with various shapes (e.g line, star, and diamond) were used in the evaluation. A topology that tracks trending topics on Twitter is also used, where the input is feeding with tweets in realtime. Experimental results show that the proposed solution can perform estimations that are well aligned with the system performance. The proposed scheduling policy achieves an improved performance with regards throughput and latency under varying ingesting rates.

关键词： Streaming Data Processing Resource Allocation/Scheduling Apache Storm

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Energy-efficient data acquisition using a distributed and self-organizing scheduling algorithm for wireless sensor networks

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3rd ieee international conference on distributed computing in sensor systems

作者： Chatterjea, Supriyo Nieberg, Tim Zhang, Yang Havinga, Paul Univ Twente Dept Comp Sci POB 217 NL-7500 AE Enschede Netherlands Univ Bonn Res Inst Discrete Math Bonn 53113 Germany

ISBN: (纸本)9783540730897

Wireless sensor networks are often densely deployed for environmental monitoring applications. Collecting raw data from these networks can lead to excessive energy consumption. Thus using the spatial and temporal correlations that exist between adjacent nodes we appoint a few as representative nodes that perform in-network aggregation. This reduces the total number of transmissions. Our distributed scheduling algorithm autonomously assigns a particular node to perform aggregation and reassigns schedules when network topology changes. These topology changes are detected using cross-layer information from the underlying MAC layer. We also present theoretical performance estimates and upper bounds of our algorithm and evaluate it by implementing the algorithm on actual sensor nodes, demonstrating an energy-saving of up to 80% compared to raw data collection.

关键词： Scheduling algorithms

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irdMA: Efficient Use of rdMA in distributed Deep Learning systems 19

iRDMA: Efficient Use of RDMA in Distributed Deep Learning Sy...

引用

作者： Ren, Yufei Wu, Xingbo Zhang, Li Wang, Yandong Zhang, Wei Wang, Zijun Hack, Michel Jiang, Song IBM TJ Watson Res Ctr Yorktown Hts NY 10598 USA Univ Texas Austin Austin TX 78712 USA

ISBN: (纸本)9781538625880

distributed deep learning systems place stringent requirement on communication bandwidth in its model training with large volumes of input data under user-time constraint. The communications take place mainly between cluster of worker nodes for training data and parameter servers for maintaining a global trained model. For fast convergence the worker nodes and parameter servers have to frequently exchange billions of parameters to quickly broadcast updates and minimize staleness. Demand on the bandwidth becomes even higher with the introduction of dedicated GPUs in the computation. While rdMA-capable network has a great potential to provide sufficiently high bandwidth, its current use over TCP/IP or tied to particular programming models, such as MPI, limits its capability to break the bandwidth bottleneck. In this work we propose irdMA, an rdMA-based parameter server architecture optimized for high-performance network environment supporting both GPU- and CPU-based training. It utilizes native asynchronous rdMA verbs to achieve network line speed while minimizing the communication processing cost on both worker and parameter-server sides. Furthermore, irdMA exposes the parameter server system as a POSIX-compatible file API for convenient support of load balance and fault tolerance as well as its easy use. We have implemented irdMA at IBM's deep learning platform. Experiment results show that our design can help deep learning applications, including image recognition and language classification, to achieve near-linear improvement on convergence speed and training accuracy acceleration by using distributed computing resources. From the system perspective, irdMA can efficiently utilize about 95% network bandwidth of fast networks to synchronize models among distributed training processes.

关键词： rdMA deep learning network

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An FPGA Synthesis of the distributed Control systems Designed with Petri Nets

An FPGA Synthesis of the Distributed Control Systems Designe...

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ieee 3rd international conference on Networked Embedded systems for Every Application (NESEA)

作者： Bukowiec, Arkadiusz Mroz, Piotr Univ Zielona Gora Inst Comp Engn & Elect Ul Podgorna 50 PL-65246 Zielona Gora Poland

ISBN: (纸本)9781467347211

The paper describes a new method for the synthesis of the application specific distributed control systems, constructed using the FPGA devices. The initial steps of the proposed control algorithm rely on the notion of a Petri net, which is an easy way to describe parallel processes. The subsequent steps of the algorithm consist in the decomposition of a given Petri net - with the use of a coloring algorithm - into a set of state machine type subnets. We think of each subnet as representing one parallel process. These subnets are then implemented independently in different FPGA devices. To ensure proper communication between all subnets, the entire control system uses a globally asynchronous locally synchronous (GALS) architecture with each subnet synchronized by the local clock signal. Global communication between components is buffer-based and uses additional signals, generated in a given subnet and distributed to the remaining ones.

关键词： Petri nets control engineering computing distributed control field programmable gate arrays finite state machines graph colouring logic design

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