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Detecting Precursor Patterns for Frequency Fluctuation in an Electrical Grid 18

Detecting Precursor Patterns for Frequency Fluctuation in an...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Islam, Md. Shahidul Pears, Russel Bacic, Boris Auckland Univ Technol Sch Engn Comp & Math Sci Auckland 1010 New Zealand

ISBN: (纸本)9781509055043

Precursor pattern identification addresses the problem of detecting warning signals in data that herald an impending event of extraordinary interest. In the context of electrical power systems, identifying precursors to fluctuations in power generation in advance would enable engineers to put in place measures that mitigate against the effects of such fluctuations. In this research we use the Morlet wavelet to transform a time series defined on electrical power generation frequency which was sampled at intervals of 30 seconds to identify potential precursor patterns. the power spectrum that results is then used to select high coefficient regions that capture a large faction of the energy in the spectrum. We then subjected the high coefficient regions together with a contrasting low coefficient region to a non-parametric ANOVA test and our results indicate that one high coefficient region dominates by predicting an overwhelming percentage of the variation that occurs during the subsequent fluctuation event. these results suggest that the wavelet is an effective mechanism to identify precursor activity in electricity time series data.

关键词： Precursor Pattern Frequency Fluctuation Wavelet Transform Non-Parametric ANOVA

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Batch-Based Flash Crowd Relaxation in Cloud-Assisted P2P Live Streaming 18

Batch-Based Flash Crowd Relaxation in Cloud-Assisted P2P Liv...

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18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing (SNPD)

作者： Jinbo, Shuji Alghazawy, Bahaa Aldeen Fujita, Satoshi Hiroshima Univ Dept Informat Engn Higashihiroshima 7398527 Japan

ISBN: (纸本)9781509055043

this paper proposes a batch-based method to effectively relax the flash crowd in P2P live streaming systems with the aid of the cloud. the role of the cloud is twofolds. the first one is to determine the concrete overlay structure of batches consisting of nodes waiting in the request queue which is restricted to be a multiple-spanning-tree. With this approach we could maximize the resource utilization in each batch without increasing the load of the tracker. the second one is to feed recently issued chunks to the gateway of batches before connecting them to the existing overlay. the performance of the proposed method is evaluated by simulation. the result of simulations indicates that: 1) the proposed method reduces the waiting time of conventional method by 80%, and 2) the amount of data fetched from the cloud could effectively be reduced by decreasing the size of batches.

关键词： P2P live streaming cloud-assisted flash crowd

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Dynamic scheduling in distributed heterogeneous systems with dependent tasks & imprecise execution time estimates

Dynamic scheduling in distributed heterogeneous systems with...

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Proceedings of the 16th iasted international conference on parallel and distributed computing and systems

作者： Boyer, Wayne F. Hura, Gurdeep S. Idaho Natl. Eng. and Environ. Lab. 2525 N. Freemont Idaho Falls ID 83415-5224 Comp. Sci. and Computer Engineering University of Idaho Idaho Falls ID 83402

Two new algorithms are proposed for scheduling tasks in heterogeneous distributed systems where tasks may have arbitrary dependencies and estimates of execution time are imperfect. A new Dynamic Adaptive Random Scheduler (DARS) algorithm is proposed. DARS uses a randomized ordering technique to search for a near optimum schedule while monitoring the status of each previously dispatched task such that tasks are migrated according to the current estimates of task execution time. A proposed new Load Balancing (LB) algorithm distributes tasks initially by a heuristic that accounts for heterogeneity and dependencies, and while tasks are executing it migrates tasks to rebalance the load whenever a host becomes idle such that the number of migrations is minimized and each migration accounts for dependencies. the algorithms were evaluated by simulation of various scenarios and for various levels of uncertainty in execution time estimated values. the best algorithm is highly dependent on the nature of the load and the level of uncertainty in the execution time estimates.

关键词： distributed computer systems

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Scheduling parallel tasks on heterogeneous clusters

Scheduling parallel tasks on heterogeneous clusters

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Proceedings of the 16th iasted international conference on parallel and distributed computing and systems

作者： Barbosa, J. Morais, C. Monteiro, A.P. Faculdade de Engenharia Universidade do Porto Inst. de Engenharia Biomédica Porto Portugal Instituto Politecnico de Braganca Bragança Portugal Instituto de Engenharia Biomedica Porto Portugal

parallel tasks, also called malleable tasks, are tasks that can be executed on any number of processors with its execution time being a function of the number of processors alloted to it. the scheduling of independent parallel tasks on homogeneous machines is a problem that has been extensively studied. For heterogeneous machines, with a diverse CPU capacity, new challenges arise, namely the selection of the set of CPUs that optimizes the processing time of a given task. this paper presents a methodology to determine the best allotment for each task that minimizes its processing time on a given heterogeneous machine. the aim is to improve the global processing time of a complex algorithm composed by several linear algebra kernels, by scheduling a number of parallel tasks in the heterogeneous machine. the results presented compare this approach to the simpler data parallel execution of each task on the heterogeneous cluster, i.e. executing one task at a time using the data parallel programming model.

关键词： parallel processing systems

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Achieving parallelism 'easily' through Pshell

Achieving parallelism 'easily' through Pshell

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Proceedings of the 16th iasted international conference on parallel and distributed computing and systems

作者： Saffioti, Daniel F. Piper, Ian Fulcher, John Sch. Info. Technol. and Comp. Sci. University of Wollongong Northfields Avenue Wollongong NSW 2522 Australia

Communications and the scheduling of tasks are the two most important issues of parallel programming on clusters. Over time, various parallel computing programming models such as remote threads, transparent process migration, message passing, distributed shared memory and optimizing parallel compilers have emerged, assisting the programmer to develop applications which can work seamlessly in such environments. Considerable research has been done to optimize these models, which typically have large communications overheads, resulting in a detrimental effect on performance. In addition to this, their acceptance has varied by virtue of the fact that each has introduced new problems with reference to portability, scalability and usability. Sometimes these problems completely violate the underlying notion of such computing. To overcome these issues Pshell, which provides transparent scheduling and communication of jobs between disparate hosts, has been developed. Pshell is the 'glue' for producing high-performance parallel applications that can work securely and efficiently in heterogeneous environments. It represents a major shift in traditional parallel programming environments because it is a language using the syntax of the Bourne shell sh(l). the Bourne shell process and communications models can easily be extended to parallel computing environments using the concurrent programming model. this paper will examine the evolution of cluster computing and identify where deficiencies lie in current programming models, providing a justification for simple languages while providing the reader with an understanding of the Pshell programming environment. In addition to this, the paper illustrates how such a language can be used to ease the process of writing parallel applications and to overcome some of the limitations inherent in traditional programming models without sacrificing performance.

关键词： parallel processing systems

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Local Acceleration in distributed Geographic Information Processing with CUDA

Local Acceleration in Distributed Geographic Information Pro...

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18th international conference on Geoinformatics

作者： Zhao, Yong Huang, Zhou Chen, Bin Fang, Yu Yan, Menglong Yang, Zhenzhen Peking Univ Inst Remote Sensing & Geog Informat Syst Beijing 100871 Peoples R China

ISBN: (纸本)9781424473021

DGIP (distributed Geographic Information Processing) has become a new tendency of GIS (Geographic Information System) recently. DGIP focuses on how to organize and process a series of geographic resources in distributed computing environment and now existing research is mainly carried out from a global point of view. But it is noticeable that each computing node in distributed computing environment will carry a heavy load with growth of data quantity. So this paper concentrates on how to make each computing node fulfill the subtask more quickly to achieve efficient local acceleration. the paper designs a prototype for distributed remote sensing image processing and achieves local acceleration in each computing node with CUDA (Compute Unified Device Architecture). Firstly, the paper introduces the distributed procedure of the prototype and overviews the architecture and programming model of CUDA. then the paper takes Mean Filter as an example to design and implement the parallel program with CUDA to accelerate the procedure of remote sensing image processing in each node. To evaluate the performance of the local acceleration, the paper carries out a group of comparative tests between the parallel implementation with CUDA and the conventional implementation. the results demonstrate that the local acceleration with CUDA runs more than 20 times faster than conventional process.

关键词： local acceleration DGIP CUDA parellel programming

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A management system for complex parameter studies and experiments in grid computing

A management system for complex parameter studies and experi...

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Proceedings of the 16th iasted international conference on parallel and distributed computing and systems

作者： Currle-Linde, Natalia Boes, Fabian Lindner, Peggy Pleiss, Juergen Resch, Michael M. High Perf. Comp. Center Stuttgart University of Stuttgart Allmandring 30 70550 Stuttgart Germany Institute of Technical Biochemistry University of Stuttgart Allmanding 31 70569 Stuttgart Germany

Although some known parameter study tools [1] have successfully been used to solve standard parameter study problems, they are not yet sufficient to handle the current generation of complex parameter investigations. Furthermore, time constraints typically require that multiparametric tasks are executed on a large number of parallel computational resources. Grid computing potentially helps by enabling access to vast computational resources. But in practice the application of multiple Grid resources to complex tasks leads to considerable programming effort for the scientist. One way to reduce both the work and the cost associated with performing parametric investigations of complex scientific experiments could be to automate the creation of complex modules for the computation and the dynamic control of the study, for example through the use of the results from previous computational stages. In this paper we propose a concept for the design and implementation of an automated parametric modeling system for producing complex dynamically-controlled parameter studies without the use of any specific programming language in the process of parameterization, computation and the control of the experiment.

关键词： distributed computer systems

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Providing service level agreements for idle CPU cycles from an internet PC Grid

Providing service level agreements for idle CPU cycles from ...

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Proceedings of the 16th iasted international conference on parallel and distributed computing and systems

作者： Stephens, Mark Nair, Suku High Assur. Comp./Networking Lab. Dept. of Comp. Sci. and Engineering Southern Methodist University Dallas TX 75275 High Assur. Comp./Networking Lab. Dept. of Comp. Sci. and Engineering Southern Methodist University Dallas TX 75275 United States

Using distributed computing to harness idle CPU cycles from PCs across the Internet is an economically attractive solution for solving many problems. Research estimates that the average wasted idle time for Internet connected PCs is over 90%. If a fraction of these wasted cycles could be harnessed and presented in a reliable and consistent manner, they could be traded as a commodity. Consumers in this market would expect Service Level Agreements (SLA) with guarantees on Quality of Service. Providers in this market would need to bring consistency and stability to this highly volatile environment. In this paper we explore this topic by presenting SLA contracts for purchasing idle CPU units from a PC Grid, describing the required QoS parameters, and demonstrating how the use of fault-tolerant probabilistic task scheduling with statistical inference could be used to bring stability and consistency to an Internet PC Grid.

关键词： distributed computer systems

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Study of hybrid coherence protocols for parallel logic programming systems

Study of hybrid coherence protocols for parallel logic progr...

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Proceedings of the 16th iasted international conference on parallel and distributed computing and systems

作者： De Oliveira, Eduardo P. G. Ramos, Fabiano De Dutra, Inês Castro De Castro, Maria Clicia Stelling Department of Computer Science COPPE/UFRJ Univ. Federal do Rio de Janeiro Brazil Inst. de Matemát. e Estat. Univ. Estadual do Rio de Janeiro Brazil

this work investigates the impact of hybrid coherence protocols on non-scientific applications. We use execution-driven simulation of a scalable multiprocessor and compare the results obtained with a hybrid protocol with a well-known invalidate protocol and an update-based protocol. Our results show that for our sample programs a hybrid protocol with high threshold outperforms both the invalidate-based and update-based protocols, regardless of the type of parallelism exhibited by the benchmarks. We conclude that our applications can benefit from a hybrid protocol, and that multiprocessors designed for running these systems efficiently should adopt some form of hybrid protocol.

关键词： Logic programming

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Accelerating Cost Aggregation for Real-Time Stereo Matching

Accelerating Cost Aggregation for Real-Time Stereo Matching

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IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Fang, Jianbin Varbanescu, Ana Lucia Shen, Jie Sips, Henk Saygili, Gorkem van der Maaten, Laurens Delft Univ Technol Parallel & Distributed Syst Grp Delft Netherlands Delft Univ Technol Pattern Recognit & Bioinformat Grp Delft Netherlands

ISBN: (纸本)9781467345651;9780769549033

Real-time stereo matching, which is important in many applications like self-driving cars and 3-D scene reconstruction, requires large computation capability and high memory bandwidth. the most time-consuming part of stereo-matching algorithms is the aggregation of information (i.e. costs) over local image regions. In this paper, we present a generic representation and suitable implementations for three commonly used cost aggregators on many-core processors. We perform typical optimizations on the kernels, which leads to significant performance improvement (up to two orders of magnitude). Finally, we present a performance model for the three aggregators to predict the aggregation speed for a given pair of input images on a given architecture. Experimental results validate our model with an acceptable error margin (an average of 10.4%). We conclude that GPU-like many-cores are excellent platforms for accelerating stereo matching.

关键词： Stereo Matching Cost Aggregation Performance Optimization Performance Modeling OpenCL GPUs.

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