An Object-Oriented view of fragmented data processing for fault and intrusion tolerance in distributed systems

1992 ◽  
pp. 193-208 ◽  
Author(s):  
Jean-Charles Fabre ◽  
Brian Randell
Keyword(s):  
Distributed Systems ◽  
Data Processing ◽  
Object Oriented ◽  
Intrusion Tolerance ◽  
Fragmented Data

scholarly journals Distributed Singular Value Decomposition Method for Fast Data Processing in Recommendation Systems

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2284
Author(s):  
Krzysztof Przystupa ◽  
Mykola Beshley ◽  
Olena Hordiichuk-Bublivska ◽  
Marian Kyryk ◽  
Halyna Beshley ◽  
...  
Keyword(s):  
Distributed Systems ◽  
Singular Value Decomposition ◽  
Data Processing ◽  
Message Passing ◽  
Message Passing Interface ◽  
Recommendation Systems ◽  
Singular Value ◽  
Singular Value Decomposition Method ◽  
Value Decomposition ◽  
Svd Method

The problem of analyzing a big amount of user data to determine their preferences and, based on these data, to provide recommendations on new products is important. Depending on the correctness and timeliness of the recommendations, significant profits or losses can be obtained. The task of analyzing data on users of services of companies is carried out in special recommendation systems. However, with a large number of users, the data for processing become very big, which causes complexity in the work of recommendation systems. For efficient data analysis in commercial systems, the Singular Value Decomposition (SVD) method can perform intelligent analysis of information. With a large amount of processed information we proposed to use distributed systems. This approach allows reducing time of data processing and recommendations to users. For the experimental study, we implemented the distributed SVD method using Message Passing Interface, Hadoop and Spark technologies and obtained the results of reducing the time of data processing when using distributed systems compared to non-distributed ones.

scholarly journals Data processing and optimization system to study prospective interstate power interconnections

2018 ◽  
Vol 27 ◽  
pp. 01007
Author(s):  
Sergei Podkovalnikov ◽  
Ivan Trofimov ◽  
Leonid Trofimov
Keyword(s):  
Power Systems ◽  
Data Processing ◽  
Electric Power ◽  
Object Oriented ◽  
Optimization System ◽  
South Korean ◽  
Electric Power Grid ◽  
Graphical Visualization ◽  
Gis System ◽  
Object Oriented Database

The paper presents Data processing and optimization system for studying and making rational decisions on the formation of interstate electric power interconnections, with aim to increasing effectiveness of their functioning and expansion. The technologies for building and integrating a Data processing and optimization system including an object-oriented database and a predictive mathematical model for optimizing the expansion of electric power systems ORIRES, are described. The technology of collection and pre-processing of non-structured data collected from various sources and its loading to the object-oriented database, as well as processing and presentation of information in the GIS system are described. One of the approaches of graphical visualization of the results of optimization model is considered on the example of calculating the option for expansion of the South Korean electric power grid.

Statistical Metadata in Data Processing and Interchange

2011 ◽  
pp. 1048-1053 ◽  
Author(s):  
Maria Vardaki
Keyword(s):  
Information Systems ◽  
Data Processing ◽  
Object Oriented ◽  
Statistical Information ◽  
Complex Object

The term metadata is frequently considered in many different sciences. Statistical metadata is a term generally used to denote data about data. Modern statistical information systems (SIS) use metadata templates or complex object-oriented metadata models, making an extensive and active usage of metadata.

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