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Internet and distributed computing systems 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Giuseppe Di Fatta Giancarlo Fortino Wenfeng Li Mukaddim Pathan Frederic Stahl Antonio Guerrieri

ISBN: (数字)9783319232379

ISBN: (纸本)9783319232362

this book constitutes the refereed proceedings of the 8th international conference on Internet and distributed computing systems, IDCS 2015, held in Windsor, UK, in September 2015. the 19 revised full and 6 revised short papers presented were carefully reviewed and selected from 42 submissions. the selected contributions covered cutting-edge aspects of Cloud computing and Internet of things, sensor networks, parallel and distributed computing, advanced networking, smart cities and smart buildings, Big Data and social networks.

关键词： Computer Communication Networks Information systems Applications (incl. Internet) Algorithm Analysis and Problem Complexity systems and Data Security Information Storage and Retrieval Software Engineering

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Summary Creation for Information Discovery in distributed systems

Summary Creation for Information Discovery in Distributed Sy...

引用

Euromicro conference on parallel, distributed and Network-Based Processing

作者： Agustin C. Caminero Eduardo Huedo Omer Rana Ignacio M. Llorente Blanca Caminero Carmen Carrión The National University of Distance Education Spain The Complutense University Spain The University of Cardiff UK The University of Castilla La Mancha Spain

In current distributed systems, such as Grids, Clouds, or P2P systems, the amount of information to handle influences the way the system is managed. In P2P systems containing large quantities of data, or in Grid systems containing a large number of (often heterogeneous) resources, information about data or resources must be spread through the system in an efficient way in order to allow them to be found. An information discovery technique based on data summarization, via clustering, is presented. these summaries can be used to classify information to provide users with greater insight about documents or computing resources compared to raw data. Also, meta-schedulers or brokers would benefit from the proposed technique due to the fact that they would have to deal with less data from resources, thus aiding to the scalability of the system. An evaluation of the approach is subsequently provided to identify the impact of choosing particular parameters to be used as part of the summary.

关键词： Clustering algorithms Computational modeling Databases Scalability Electronic mail Proposals Peer to peer computing

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Adapting distributed evolutionary algorithms to heterogeneous hardware 19th

引用

19th international conference on Transactions on Computational Collective Intelligence, TCCI 2015

作者： Salto, Carolina Alba, Enrique Universidad Nacional de La Pampa - CONICET General Pico Argentina Universidad de Málaga Málaga Spain

ISBN: (纸本)9783662490167

distributed computing environments are nowadays composed of many heterogeneous computers able to work cooperatively. Despite this, the most of the work in parallel metaheuristics assumes a homogeneous hardware as the underlying platform. In this work we provide a methodology that enables a distributed genetic algorithm to be customized for higher efficiency on any available hardware resources with different computing power, all of them collaborating to solve the same problem. We analyze the impact of heterogeneity in the resulting performance of a parallel metaheuristic and also its efficiency in time. Our conclusion is that the solution quality is comparable to that achieved by using a theoretically faster homogeneous platform, the traditional environment to execute this kind of algorithms, but an interesting finding is that those solutions are found with a lower numerical effort and even in lower running times in some cases. © Springer-Verlag Berlin Heidelberg 2015.

关键词： computing power

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Proceedings - 4th IEEE international conference on Cyber-Physical systems, Networks, and Applications, CPSNA 2016

Proceedings - 4th IEEE International Conference on Cyber-Phy...

引用

4th IEEE international conference on Cyber-Physical systems, Networks, and Applications, CPSNA 2016

ISBN: (纸本)9781509044030

the proceedings contain 19 papers. the topics discussed include: experimental validation of encrypted controller implemented on Raspberry Pi;pure pursuit revisited: field testing of autonomous vehicles in urban areas;design and implementation of a high power robot distributed control system on dependable responsive multithreaded processor (D-RMTP);filling demand-supply gap by adjusting electricity selling prices under stochastic acceptance;power demand forecasting using meteorological data and human congestion information;controllability of aggregate demand response systems for real-time pricing;optimal real-time pricing of electricity based on switched Markov chain models and welfare maximization;control of large-scale cyber-physical systems with agents via a representative model;adaptive transient fault model for sensor attack detection;distributed QoS aware meta-routing for IoT/CPS;lightweight ruby framework for improving embedded software efficiency;priority and synchronization support for ROS;HLBS: heterogeneous laxity-based scheduling algorithm for DAG-based real-time computing;parallel responsive task on dependable responsive multithreaded processor ii;and componentizing an operating system feature using a TECS plugin.

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Efficient parallel Block-Max WAND Algorithm

Efficient Parallel Block-Max WAND Algorithm

引用

19th international conference on Euro-Par

作者： Rojas, Oscar Gil-Costa, Veronica Marin, Mauricio Univ Santiago DIINF Santiago Chile Yahoo Labs Santiago Chile Univ San Luis CONICET San Luis Argentina

ISBN: (纸本)9783642400476

Large Web search engines are complex systems that solve thousands of user queries per second on clusters of dedicated distributed memory processors. Processing each query involves executing a number of operations to get the answer presented to the user. the most expensive operation in running time is the calculation of the top-k documents that best match each query. In this paper we propose the parallelization of a state of the art document ranking algorithm called Block-Max WAND. We propose a 2-steps parallelization of the WAND algorithm in order to reduce inter-processor communication and running time cost. Multi-threading tailored to Block-MaxWAND is also proposed to exploit multi-core parallelism in each processor. the experimental results show that the proposed parallelization reduces execution time significantly as compared against current approaches used in search engines.

关键词： Search engines

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Efficient dissemination of mobile agents

Efficient dissemination of mobile agents

引用

international conference on distributed computing systems Workshop

作者： W. theilmann K. Rothermel Institute of Parallel and Distributed High-Performance Systems University of Stuttgart Stuttgart Germany

An often claimed benefit of mobile agent technology is that it reduces communication cost, but there is hardly any scenario in which this advantage has been proven or quantified on an Internet scale. One important reason for this lack of quantification is that agent systems do not have global knowledge about the quality of network connections between arbitrary agent platforms and data servers. We present an approach for representing a network in a way that allows to derive approximately the quality of network connections between agent platforms and data servers. By using this representation we provide an algorithm which computes a schedule for the efficient dissemination of a mobile agent. the experimental validation of our approach shows that communication cost can be reduced by more than 50 percent in many situations.

关键词： Mobile agents Network servers Costs Web server Mobile communication Internet Delay Context Information retrieval National electric code

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A distributed Ensemble of Diverse Deep Learning Models for Predicting COVID-19 Cases 20

A Distributed Ensemble of Diverse Deep Learning Models for P...

引用

20th international conference on Smart Technologies, EUROCON 2023

作者： Hassan, Mohammad Mehedi Alrakhami, Mabrook S. Elhendi, Ahmed Zohier Alqahtani, Salman A. King Saud University Information Systems Department Ccis Riadh 11543 Saudi Arabia King Saud University Science Technology and Innovation Dept. Riadh 11543 Saudi Arabia King Saud University Computer Engineering Department Ccis Riadh 11543 Saudi Arabia

ISBN: (纸本)9781665463973

the outbreak of the COVID-19 pandemic has resulted in a significant impact on global health and economy. Forecasting the spread of COVID-19 cases is essential for policymakers to make informed decisions and allocate resources accordingly. Deep learning has shown promising results in predicting the spread of infectious diseases, including COVID-19. However, selecting the most appropriate model for a given forecasting task can be challenging, as no single model is guaranteed to perform well for all scenarios. In this paper, we propose a distributed ensemble approach that combines the predictions of different deep learning models, including Autoregressive Integrated Moving Average (Auto-ARIMA), Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM), to improve the accuracy of COVID-19 case forecasts. Specifically, we train each deep learning model on a subset of the data and aggregate their predictions to obtain an ensemble forecast. To achieve a distributed ensemble, we use an edge computing framework to train the deep learning models on multiple nodes in a parallel and distributed manner. We evaluate our approach on publicly available COVID-19 datasets, and our results show that the proposed ensemble model outperforms the individual models in terms of forecasting accuracy. Furthermore, our distributed ensemble approach significantly reduces the training and prediction time compared to training each model separately. © 2023 IEEE.

关键词： COVID-19

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An enhanced parallel loop self-scheduling scheme for cluster environments

An enhanced parallel loop self-scheduling scheme for cluster...

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international conference on Advanced Information Networking and Applications (AINA)

作者： Chao-Tung Yang Kuan-Wei Cheng Kuan-Ching Li High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung Taiwan

ISBN: (纸本)0769522491

In this paper, a parallel loop self-scheduling scheme for heterogeneous PC cluster systems is proposed. though the proposed scheme does allow users to choose parameters before the execution initialization phase, there are still weaknesses that motivate us to go further with new improvements in that scheme. For instance, a decision on a fixed and monotonous parameter can easily lead to invalid schedule by using previous input information. thus, it is proposed in this paper a new scheme, where the scheduling parameter can be adjusted dynamically and fit into most widely available computer systems, in order to provide higher overall performance.

关键词： Processor scheduling Dynamic scheduling Load management Master-slave Concurrent computing distributed computing Clustering algorithms Runtime Computer science Scheduling algorithm

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On construction of a visualization toolkit for MPI parallel programs in cluster environments

On construction of a visualization toolkit for MPI parallel ...

引用

19th international conference on Advanced Information Networking and Applications, AINA 2005

作者： Li, Kuan-Ching Chang, Hsun-Chang Yang, Chao-Tung Sato, Liria Matsumoto Yang, Chung-Yuan Wu, Yin-Yi Pel, Mao-Yueh Liao, Hsiang-Kai Hsieh, Min-Chieh Tsai, Chia-Wen Parallel and Distributed Processing Center CSIM Dept. Providence University Shalu Taichung 433 Taiwan MPC Laboratory CSIE Dept. Tunghai University Taichung 407 Taiwan LASE Laboratory PCS Dept. University of Sao Paulo SP 05508-900 Brazil

ISBN: (纸本)0769522491

the low cost and wide availability of PC-based clusters have made them an excellent alternative to access supercomputing. However, while network of workstations may be readily available, there is an increasing need for performance tools that support these platforms, in order to achieve even higher performance. One of possible ways to increase performance is parallel program restructuring. It is introduced in this paper a toolkit to generate graphical charts for visualization of MPI parallel programs, reflecting to its execution over time, with the use of DP*Graph representation, parallel version of timing graph. In other words, parallel programs are shown through charts its sequential codes, dependencies and communication structures in a particular cluster system platform. Still in thispaper, it is discussed the implementation of this toolkit and present some experimental results obtained. © 2005 IEEE.

关键词： parallel processing systems

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Fulfilling end-to-end latency constraints in large-scale streaming environments

Fulfilling end-to-end latency constraints in large-scale str...

引用

30th IEEE international Performance, computing and Communications conference, IPCCC 2011

作者： Rizou, Stamatia Dürr, Frank Rothermel, Kurt Universität Stuttgart Institute of Parallel and Distributed Systems Universitätstraße 38 70569 Stuttgart Germany

ISBN: (纸本)9781467300100

the on-line processing of high volume data streams is a prerequisite for many modern applications relying on real-time data such as global sensor networks or multimedia streaming. In order to achieve efficient data processing and scalability w.r.t. the number of distributed data sources and applications, in-network processing of data streams in an overlay network of data processing operators has been proposed. For such stream processing overlay networks, the placement of operators onto physical hosts plays an important role for the resulting quality of service - in particular, the end-to-end latency - and network load. To this end, we present an enhanced placement algorithm that minimizes the network load put onto the system by a stream processing task under user-defined delay constraints in this paper. Our algorithm finds first the optimal solution in terms of network load and then degrades this solution to find a constrained optimum. In order to reduce the overhead of the placement algorithm, we included mechanisms to reduce the search space in terms of hosts that are considered during operator placement. Our evaluations show that this approach leads to an operator placement of high quality solution while inducing communication overhead proportional only to a small percentage of the total hosts. © 2011 IEEE.

关键词： Overlay networks

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