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检索条件"主题词=Objectification Parallel Computing"

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An Electric Power Big Data Deployment Solution For Distributed Memory computing 7

An Electric Power Big Data Deployment Solution For Distribut...

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Seventh International Symposium on parallel Architectures, Algorithms and Programming

作者： Yang, Zhi Zhang, Chunping Hu, Mu Lin, Feng State Grid Elect Power Sci Res Inst Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781467391160

In the Big Data computing, improving performance with memory computing is one of hot spots. In the memory computing, the data deployment directly affects load balance and task efficiency. In the scene of memory computing of electric power data, two unsolved problems are: (1) only memory space, without the CPU frequency and nuclear number, could be considered for load balance and improving performance;(2) there are so many manual operations that it is difficult to complete data deployment automatically. This paper provides an electric power data deployment solution for distributed memory computing to solve the above challenges. In the solution, according to business logic and hardware configuration of cluster nodes, the data deployment strategy can be established. Then, the deployment scheme can be implemented with interface operation. Lastly, cluster nodes load data according to the deployment scheme. The solution has been applied to the objectification parallel computing (OPC). The application result shows that OPC can achieve the best performance which can meet the demand of system efficiency and the operation of data deployment is simple.

关键词： component: Big Data Distributed Memory computing objectification parallel computing Data Deployment strategy

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A Real-Time Distributed Query Solution Based on the OPC

A Real-Time Distributed Query Solution Based on the OPC

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International Conference on Cloud computing and Big Data (CCBD)

作者： Yang, Zhi Ju, Kezhen Zhang, Chunping Hu, Mu Lin, Feng State Grid Elect Power Sci Res Inst Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781479966219

The distributed query is one of the research focus in the Big Data. Nowadays, many companies and institutions provide technology and products to realize function or improve efficiency in the all kinds of database. In the scene of electricity, using these techniques, the real-time requirement (<10s) cannot be met. This paper provides a real-time distributed query solution with objectification parallel computing (OPC) to solve the above challenges. The data split from Big Data, is distributed stored in memory of cluster in the OPC. In the solution, making use of the thought of divide and rule and tree merging, there are two stages. The first stage is local data query. The intermediate query result can be obtained. The second stage is multistage summarizing. The final result can be returned to user. The solution has been applied to the power production management system (PMS) of State Grid of China. The results show that solution is efficiently reliable and meets real-time.

关键词： component: Big Data Distributed Query objectification parallel computing Binary Location

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OPC:A Distributed computing and Memory computing-based Effective Solution of Big Data

OPC:A Distributed Computing and Memory Computing-based Effec...

引用

2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)

作者： Yang, Zhi Zhang, Chunping Hu, Mu Lin, Feng State Grid Elect Power Sci Res Inst Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781509018932

The Big Data computing is one of hot spots of the internet of things and cloud computing. How to compute efficiently on the Big Data is the key of improving performance. By means of distributed computing or memory computing, many companies and institutions provide some technologies and produces. But they are invalid in the scene in which there are real-time demands in the low-configure cluster. To deal with the problem, this paper provides a distributed computing and memory computing-based effective solution (objectification parallel computing, OPC). In the solution, the data can be formatted into object. Then the objects are distributed stored in the computer memories and parallel compute to complete tasks. The OPC is applied to the Electric Asset Quality Supervision Manage System (EAQSMS) of State Grid of China, the result shows that with PCs the system is efficiently available, reliable, and flexible expansible.

关键词： component Big Data Distributed Memory computing parallel computing objectification parallel computing Architecture of objectification parallel computing

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