Complex event processing is an efficient method in data stream processing of Internet of things, but more of these methods are referred to a single complex event or a small quantity of events. Aiming at this problem, ...
详细信息
ISBN:
(纸本)9781479987306
Complex event processing is an efficient method in data stream processing of Internet of things, but more of these methods are referred to a single complex event or a small quantity of events. Aiming at this problem, a distributed complex event processing architecture for Internet of things is presented in this paper, in which a distributed query plan of complex event process structure based on directed acyclic graph (DAG) is given, moreover, a distributed query-plan complex-event-processing algorithm based on directed acyclic graph is proposed. The complex tasks are decomposed into several simple sub-tasks which are processed in parallel with the corresponding operator nodes, to realize distributedprocessing and to improve the efficiency of processing and execution. The simulation results indicate that our method is more efficient in lower RAM consumption, processing time, and others, and the efficiency of data stream processing for Internet of things is improved.
Migration of individuals among islands is effective in many cases in distributed parallel processing of the evolutionary computation. However, the effectiveness of migration depends on many factors such as migration f...
详细信息
ISBN:
(纸本)9781424468904
Migration of individuals among islands is effective in many cases in distributed parallel processing of the evolutionary computation. However, the effectiveness of migration depends on many factors such as migration frequency, migration topologies, migration scale, timing, and so on. The objective of our research is to investigate such factors for designing efficient parallel evolutionary computation. In this paper we analyzes the migration effects of the tree based island model in parallel genetic algorithms and parallel PBIL (Population Based Incremental Learning). Computational experiment shows us migration effects of the parallel evolutionary computation and influence of the migration topology and frequency.
The line loss in power distribution network is an important index that affects the economic benefit of power supply enterprise. In order to ensure the accuracy and stability of the line loss calculation based on large...
详细信息
ISBN:
(纸本)9781538664612
The line loss in power distribution network is an important index that affects the economic benefit of power supply enterprise. In order to ensure the accuracy and stability of the line loss calculation based on large amount of power measurement data, the distributed parallel processing method is applied to the line loss computing service, and the line loss calculation model in power distribution network was obtained by the fitting of BP neural network. Furthermore, many examples are given to test the algorithm proposed in this paper, the results show that the method can guarantee the stability and the accuracy of calculation results in line loss calculation.
Mice have been widely used in various areas of biomedical research such as drug development and genetic engineering. To investigate drug effect or treatment efficacy in the mouse studies, in-vivo mouse imaging modalit...
详细信息
ISBN:
(纸本)0819448311
Mice have been widely used in various areas of biomedical research such as drug development and genetic engineering. To investigate drug effect or treatment efficacy in the mouse studies, in-vivo mouse imaging modalities have been recently developed. Among various kinds of imaging modalities, micro-CT is-expected to be useful in many biological applications since it provides 3-dimensional high-resolution tomographic images. In this study, we have developed a high-resolution micro-CT system using a. microfocus x-ray source and a flat panel detector. The flat panel detector contains a CsI scintillator plate, a 2-dimensional photodiode array,and a 12 bit ADC. The photodiode array consists of 2400 x 2400 pixels of 50 mum size. In order to improve computing speed in the micro-CT, we have also developed a distributed parallel processing system using multiple computers. The computation-intensive cone-beam reconstruction process has. been divided into multiple tasks in a way that each CPU takes-care of similar amount of computations. We have linked four desktop. computers with dual AMD Athlon processors by Ethernet and optimized the task allocations among them. The developed parallelprocessing system has shown to have about eight times faster reconstruction speed. It is expected that the distributed image reconstruction technique can be a low cost solution for the in-vivo mouse imaging system.
parallel application programmers and software engineers have a variety of paradigms at their disposal. Some of the tools include traditional environments such as parallel Virtual Machine (PVW) and Message Passing Inte...
详细信息
ISBN:
(纸本)1932415025
parallel application programmers and software engineers have a variety of paradigms at their disposal. Some of the tools include traditional environments such as parallel Virtual Machine (PVW) and Message Passing Interface (MPI). Tools that are more modern involve the World Wide Web, including Simple Object Access Protocol (SOAP) [1], Java Messaging Service (JMS) [2], Common Object Request Broker Architecture (CORBA), and JavaSpaces. Java's object oriented approach proves to be a desirable platform for developing paralleldistributed applications. This paper describes the benefits and expected efficiencies of using SOAP based communication compared to JMS.
This paper presents the performance evaluation of MRDataCube which we have previously proposed as an efficient algorithm for data cube computation with data reduction using MapReduce framework. We performed a large nu...
详细信息
ISBN:
(纸本)9781467387965
This paper presents the performance evaluation of MRDataCube which we have previously proposed as an efficient algorithm for data cube computation with data reduction using MapReduce framework. We performed a large number of analyses and experiments to evaluate the MRDataCube algorithm in the MapReduce framework. In this paper, we compared it to simple MR-based data cube computation algorithms, e.g., MRNaive, MR2D as well as algorithms converted into MR paradigms from conventional ROLAP (relational OLAP) data cube algorithms, e.g., MRGBLP and MRPipeSort. From the experimental results, we observe that the MRDataCube algorithm outperforms the other algorithms in comparison tests by increasing the number of tuples and/or dimensions.
Aiming at the sparsity problem existing in the traditional collaborative filtering algorithm, this paper proposed an improved similarity computing method that integrated user rating behavior and item attributes. The s...
详细信息
Aiming at the sparsity problem existing in the traditional collaborative filtering algorithm, this paper proposed an improved similarity computing method that integrated user rating behavior and item attributes. The sparse matrix is evaluated and predicted by the similarity calculation method, then the prediction rating was filled in the sparse matrix. At the same time, in the context of big data, the data scale was too large to affect the execution efficiency of the recommendation system. Hadoop platform was adopted to implement collaborative filtering recommendation algorithm based on the improved similarity model. Based on large-scale data segmentation, the distributed parallel processing was carried out. The proposed improved algorithm is verified by Movielens which was an internationally standard data set. The verification results show that the personalized recommendation system based on Hadoop platform and improved recommendation algorithm has better recommendation performance.
In a genetic algorithm(GA),the undesirable phenomenon of excess convergence can often occur. Excess convergence is the phenomenon where the diversity of a group is *** phenomenon occurs because homogeneous individuals...
详细信息
In a genetic algorithm(GA),the undesirable phenomenon of excess convergence can often occur. Excess convergence is the phenomenon where the diversity of a group is *** phenomenon occurs because homogeneous individuals are increased rapidly in the group while evolving or ***, crossover loses its *** the excess convergence occurs,the search by the GA becomes meaningless. Therefore,it is important to avoid excess convergence and maintain ***,we show an implementation of a parallel GA based on a multiple-group-type island model, that uses object-shared ***,as a simple,effective method for avoiding excess convergence,we propose a diversity maintenance technique based on selection of the homogeneous individuals called the Noah's ark strategy for parallel GAs,and demonstrate its effectiveness on a knapsack *** proposed method is to replace individuals in sub-groups that have excessively converged with the new individuals coming from the search space. That is,we avoid excess convergence by expelling homogeneous individuals,with the exception of one "elite" individual(that we call for Noah).Thus,we limit a decrease in diversity of an entire group.
暂无评论