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Author: Karakaya, ZiyaPublisher: Springer-verlag Berlin

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Now showing 1 - 3 of 3
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    Citation - WoS: 4
    Citation - Scopus: 3
    Systematic Mapping Study on Performance Scalability in Big Data on Cloud Using Vm and Container
    (Springer-verlag Berlin, 2016) Gokhan, Cansu; Karakaya, Ziya; Yazici, Ali
    In recent years, big data and cloud computing have gained importance in IT and business. These two technologies are becoming complementing in a way that the former requires large amount of storage and computation power, which are the key enabler technologies of Big Data; the latter, cloud computing, brings the opportunity to scale on-demand computation power and provides massive quantities of storage space. Until recently, the only technique used in computation resource utilization was based on the hypervisor, which is used to create the virtual machine. Nowadays, another technique, which claims better resource utilization, called "container" is becoming popular. This technique is otherwise known as "lightweight virtualization" since it creates completely isolated virtual environments on top of underlying operating systems. The main objective of this study is to clarify the research area concerned with performance issues using VM and container in big data on cloud, and to give a direction for future research.
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    Citation - WoS: 6
    Jmathnorm: a Database Normalization Tool Using Mathematica
    (Springer-verlag Berlin, 2007) Yazici, Ali; Karakaya, Ziya
    This paper is about designing a complete interactive tool, named JMathNorm, for relational database (RDB) normalization using Mathematica. It is an extension of the prototype developed by the same authors [1] with the inclusion of Second Normal Form (2NF), and Boyce-Codd Normal Form (BCNF) in addition to the existing Third normal Form (3NF) module. The tool developed in this study is complete and can be used for real-time database design as well as an aid in teaching fundamental concepts of DB normalization to students with limited mathematical background. JMathNorm also supports interactive use of modules for experimenting the fundamental set operations such as closure, and full closure together with modules to obtain the minimal cover of the functional dependency set and testing an attribute for a candidate key. JMathNorm's GUI interface is written in Java and utilizes Mathematica's Mink facility to drive the Mathematica kernel.
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    Normalizing relational database schemas using Mathematica
    (Springer-verlag Berlin, 2006) Yazici, Ali; Karakaya, Ziya
    In this paper, basic relational database (DB) normalization algorithms are implemented efficiently as Mathematica modules. It was observed that, Mathematica provided a straightforward platform as opposed to previous ones, mainly Prolog based tools which required complex data structures such as linked list representations with pointers. A Java user interface called JMath-Norm was designed to execute the Mathematica modules in a systematic way. For this purpose, Mathematica's Java link facility (JLink) is utilized to drive the Mathematica kernel. JMath-Norm provides an effective interactive tool in an educational setting for teaching DB normalization theory.