Performance Analysis of MapReduce-Based Distributed Systems for Iterative Data Processing Applications

Author(s):  
Min Yoon ◽  
Hyeong-il Kim ◽  
Dong Hoon Choi ◽  
Heeseung Jo ◽  
Jae-woo Chang
Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2284
Author(s):  
Krzysztof Przystupa ◽  
Mykola Beshley ◽  
Olena Hordiichuk-Bublivska ◽  
Marian Kyryk ◽  
Halyna Beshley ◽  
...  

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.


2017 ◽  
Vol 3 (01) ◽  
pp. 63
Author(s):  
Yudi Siyamto

The purpose of this study was to determine the quality of services provided by the bank in serving kepusan customers using 5 dimensions of assurance, reliability, tangibility, empathy, and responsiveness, so from that dimension is unknown dimension into the client's preferences into consideration the quality of services by banks in Surakarta. The method used is the Importance Performance Analysis (IPA) and the Customer Satisfaction Index (CSI) doped with Miscrosoft software Excel for Windows and SPSS for windows. Questionnaires distributed amounted to 90 respondents with a sampling with accidental sampling method. The results of data processing by using IPA (Importance Performance Analysis) obtained an average rate of 95.21% suitability. Furthermore, for the assessment of the quadrant where the priority that should be corrected is related  Equanimity  customers  and  Ease  of  providing  services.  However  the  overall  services provided  by the  bank  are  quite  satisfied  because  of  the  20  attributes,  only  the  second  to  be prioritized. It was also evident from the results of the methods CSI (Customer Satisfaction Index) indicates the level of customer satisfaction by 80.80%. The value is in the range from 66 to 80.99%, so overall customers are satisfied with the performance of the services provided by the bank in Surakarta.


1979 ◽  
Vol 25 (3) ◽  
pp. 466-469 ◽  
Author(s):  
P E Undrill ◽  
R E Stroud ◽  
N Paterson

Abstract This paper describes the incorporation of a SMAC (Technicon) analyzer into data-processing techniques that have been developed on existing computer hardware during several years. The SMAC system is interfaced directly to a small computer, and suitable peripherals produce a manageable form of result tabulation for subsequent reporting, as well as provide quality-control information to the SMAC operators in real time. The design is such as to facilitate the performance analysis of the SMAC system during its initiation period and during normal service operation.


2007 ◽  
Vol 33 (3) ◽  
pp. 159-173 ◽  
Author(s):  
Alessia Gualandris ◽  
Simon Portegies Zwart ◽  
Alfredo Tirado-Ramos

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