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Open AccessArticle
7 Pages, 1,238 KB Download PDF

Improving the Performance of Hadoop Framework Using Optimization Process in the Information Management

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 5, Page # 327–333, 2019; DOI: 10.25046/aj040542
Abstract:

Hadoop has certain issues that could be taken care to execute the job efficiently. These limitations are due to the locality of the data in the cluster, allocation of the jobs, scheduling of the tasks and resource allocations in Hadoop. Execution in the mapreduce remains a challenge in terms of efficiency. So, an improved Hadoop…

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(This article belongs to the SP7 (Special Issue on Advancement in Engineering and Computer Science 2019) & Section Information Systems in Computer Science (CIS))
Open AccessArticle
9 Pages, 781 KB Download PDF

Improving the Performance of Fair Scheduler in Hadoop

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 1050–1058, 2017; DOI: 10.25046/aj0203133
Abstract:

Cloud computing is a power platform to deal with big data. Among several software frameworks used for the construction of cloud computing systems, Apache Hadoop, which is an open-source software, becomes a popular one. Hadoop supports for distributed data storage and the process of large data sets on computer clusters based on a MapReduce parallel…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Information Systems in Computer Science (CIS))
Open AccessArticle
10 Pages, 2,431 KB Download PDF

A novel model for Time-Series Data Clustering Based on piecewise SVD and BIRCH for Stock Data Analysis on Hadoop Platform

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 855–864, 2017; DOI: 10.25046/aj0203106
Abstract:

With the rapid growth of financial markets, analyzers are paying more attention on predictions. Stock data are time series data, with huge amounts. Feasible solution for handling the increasing amount of data is to use a cluster for parallel processing, and Hadoop parallel computing platform is a typical representative. There are various statistical models for…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
18 Pages, 1,503 KB Download PDF

ISR Data Processing in Military Operations

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 5, Page # 314–331, 2020; DOI: 10.25046/aj050540
Abstract:

This paper provides an overview of Intelligence, Surveillance, and Reconnaissance (ISR) data with respect on NATO standards and recommendations; further presents methods, tools, and experiences in ISR data processing in military operations. The steps of the Intelligence cycle and disciplines Business Intelligence (BI), Data Warehousing, Data Mining, and Big Data are presented in the introduction.…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
7 Pages, 916 KB Download PDF

Configuration/Infrastructure-aware testing of MapReduce programs

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 1, Page # 90–96, 2017; DOI: 10.25046/aj020111
Abstract:

The implemented programs in the MapReduce processing model are focused in the analysis of large volume of data in a distributed and parallel architecture. This architecture is automatically managed by the framework, so the developer could be focused in the program functionality regardless of infrastructure failures or resource allocation. However, the infrastructure state can cause…

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(This article belongs to the SP2 (Special Issue on Computer Systems, Information Technology, Electrical and Electronics Engineering 2017) & Section Software Engineering in Computer Science (CSE))
Open AccessArticle
19 Pages, 1,833 KB Download PDF

Operational Efficiencies and Simulated Performance of Big Data Analytics Platform over Billions of Patient Records of a Hospital System

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 1, Page # 23–41, 2017; DOI: 10.25046/aj020104
Abstract:

Big Data Analytics (BDA) is important to utilize data from hospital systems to reduce healthcare costs. BDA enable queries of large volumes of patient data in an interactively dynamic way for healthcare. The study objective was high performance establishment of interactive BDA platform of hospital system. A Hadoop/MapReduce framework was established at University of Victoria…

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(This article belongs to the SP2 (Special Issue on Computer Systems, Information Technology, Electrical and Electronics Engineering 2017) & Section Applied Mathematics (MAP))

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