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Journal of System Simulation

Big data

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Articles 1 - 9 of 9

Full-Text Articles in Engineering

Development Opportunities And Application Prospects Of Aero-Engine Simulation Technology Under Digital Transformation, Jianguo Cao Jan 2023

Development Opportunities And Application Prospects Of Aero-Engine Simulation Technology Under Digital Transformation, Jianguo Cao

Journal of System Simulation

Abstract: The development of China's social economy and the improvement of its national defense capability in the new era put forward higher requirements for the development of aero-engines. It is urgent to promote the digital transformation of aero-engines in order to achieve coordinated, agile and efficient aero-engine development. Based on the current research and development of aero-engine in China, this paper clarifies the new connotation of "speediness and efficiency, accurate mapping, comprehensive coverage, and dynamic prediction" given by the development of emerging cutting-edge technologies to aero-engine simulation technology, as well as the new technical features of "spatio-temporal ubiquity, data driven, …


Smt Bounded Constrained Non Centralized Automaton Web Service Model Checking, Wei Rong, Xibing Shen, Yang Yi Aug 2020

Smt Bounded Constrained Non Centralized Automaton Web Service Model Checking, Wei Rong, Xibing Shen, Yang Yi

Journal of System Simulation

Abstract: In model checking for web services applications, the combination of traditional finite state machine cannot guarantee the correctness of web service composition, a method of non centralized automaton model for web service detection algorithm was put forward,based on which could meet of mode theory (satisfiability modulo of the nanocomposite, SMT). The SMT was used to detect the bounded model of timed automata, and the time automaton was directly converted into SMT identifiable logic formula and was solved; using the SMT timed automata theory, implementation of employee travel arrangements for composite web service was modeled and verified. Through …


Qos-Aware Scheduling For Data Intensive Workflow, Wan Cong, Cuirong Wang, Wang Cong Jul 2020

Qos-Aware Scheduling For Data Intensive Workflow, Wan Cong, Cuirong Wang, Wang Cong

Journal of System Simulation

Abstract: The development of technology enables people to access resources from different data centers. Resource management and scheduling of applications, such as workflow, that are deployed on the cloud computing environment have already become a hot spot. A QoS-aware scheduling algorithm for data intensive workflow on multiple data center environment was proposed. Scheduling data intensive workflow on multiple data center environment has two characteristics: A large amount of data is distributed in different geographical locations, the process of data migration will consume a large amount of time and bandwidth; secondly, the data centers have different price and resources. Data migration …


Approach To Process Smart Grid Time-Serial Big Data Based On Hbase, Wang Yuan, Tao Ye, Yuan Jun, He Wei Jul 2020

Approach To Process Smart Grid Time-Serial Big Data Based On Hbase, Wang Yuan, Tao Ye, Yuan Jun, He Wei

Journal of System Simulation

Abstract: With the development of critical theories and technologies in Internet of things (IOT), more and more attentions have been focused on the IOT applications. Smart Grid is one of the typical IOT applications on which a huge number of sensors have been deployed to gather and generate time-serial data to make sense of the running states of the key devices. How to apply these data to make smart grid running secure and stable is a hot research topic. By considering the fact that smart grid is characterized by a huge number of devices, a huge amount of data and …


Research On Technology Of Data Storage And Access In High-Throughput Simulation, Zishuo Wang, Yanlong Zhai, Wenjun Tao, Yang Hao, Zhang Han, Duzheng Qing Jun 2020

Research On Technology Of Data Storage And Access In High-Throughput Simulation, Zishuo Wang, Yanlong Zhai, Wenjun Tao, Yang Hao, Zhang Han, Duzheng Qing

Journal of System Simulation

Abstract: Aiming at the massive data processing requirements of simulation application in the big data environment, the concept and reference structure of high-throughput simulation were proposed and defined in accordance with the architecture and technical characteristics of high-throughput big data computing. For the problem of data access bottleneck in high-throughput simulation, a high-throughput simulation data storage and access system was designed based on distributed memory file system, and the non-volatile memory was integrated to improve the throughput of data access. The experimental results of typical simulation applications show that the high-throughput simulation storage system with distributed memory file system and …


Parallel Method For Extracting Pulses From Multi-Source Massive Partial Discharge Signals, Liuwang Wang, Yongli Zhu, Yafei Jia Jun 2020

Parallel Method For Extracting Pulses From Multi-Source Massive Partial Discharge Signals, Liuwang Wang, Yongli Zhu, Yafei Jia

Journal of System Simulation

Abstract: Aiming at the issue of discharge pulse extraction for multi-source and massive PD signals, a novel parallel method based on Message Passing Interface was proposed. The proposed method applied a parallel mode called manager-worker-writer. In this method, a manager dynamically assigned task to several workers, and these workers executed tasks in parallel and a writer received results from workers in real time, so data management was separated from task execution. In addition, the manager identified sources of PD signals and sent them to workers as the keys for analyzing different data files and setting algorithm parameters, so multi-source and …


System Analysis Method Based On Simulation Big Data, Guangya Si, Wang Fei, Liu Yang Nov 2019

System Analysis Method Based On Simulation Big Data, Guangya Si, Wang Fei, Liu Yang

Journal of System Simulation

Abstract: Wargaming and exploratory simulation with large-scale simulation systems produce massive simulation data. These data contain many complexity patterns of war, and are significant samples for studying the mechanism of war. Based on the definition of simulation big data, an analysis framework based on simulation big data is proposed, which is divided into three levels: simulation environment and data planning, big data acquisition and storage, and analysis and mining. The simulation data planning and analysis and mining are briefly introduced.


Parallel Pattern Recognition Of Leak Current Data Using Spark-Knn, Li Li, Yongli Zhu, Yaqi Song Jan 2019

Parallel Pattern Recognition Of Leak Current Data Using Spark-Knn, Li Li, Yongli Zhu, Yaqi Song

Journal of System Simulation

Abstract: With the rapid development of smart grid, the status monitoring data of power grid equipment increase exponentially and gradually form the big data. Traditional computing architectures are no longer to meet the demand of computing performance. This paper explores how Spark and Cloud computing can accelerate performance of missive insulator leak current data pattern recognition. The Parallel KNN (k-Nearest Neighbor) algorithm is designed and implemented by using Spark and Aliyun E-MapReduce cloud computing platform. The results from experiments show that the performance of Spark-KNN is 2.97 times of MapReduce-KNN and gains acceleration of 8.8 times. The experimental results confirm …


Association Rules Analysis Method Of Spatial Data Under Mapreduce Framework, Mingzhi Zhang, Li Yi Jan 2019

Association Rules Analysis Method Of Spatial Data Under Mapreduce Framework, Mingzhi Zhang, Li Yi

Journal of System Simulation

Abstract: Spatial data has the characteristic of extensity, timeliness, multidimensional, large amount of data and complex relations. Some non-conventional data screening tool for analysis and mining is required to find out the patterns, rules and characteristics knowledge in the spatial big data for battlefield situation awareness and battle space management. In view that the existing Apriori algorithm scans the database too frequently, the Apriori algorithm is improved on the basis of working principle of Map Reduce .The fast analysis ideas and technologyframework of spatial data is proposed. An elementary validate prototype is built for the key technology experimentation.Experimental results …