Design of Efficient Index Management for Column-based Big Databases

Byun, Siwoo

doi:10.21742/ijitbd.2017.2.1.06

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…"Big data" refers to data that are bigger and more diverse than those in the past in terms of quantity, data generation cycle (i.e., produced in real time), and format (including not only numerical but also non-structured data such as texts), which are difficult to collect, store, search, and analyze using traditional methods [6]. The term big data is changing to include tools, platforms, and analytic methods for systematization and refers to the information technology that extracts valuable information by using and analyzing large volumes of data and predicting changes based on generated knowledge [7].…”

Section: Definition and Elements Of Big Datamentioning

confidence: 99%

An Integrated Methodological Analysis for the Highest Best Use of Big Data-Based Real Estate Development

Kim

Seo

Chung³

2020

Sustainability

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This study investigates the integration of methods for real estate development planning and feasibility studies in the changing business environments of emerging big-data. It examines high-rise mixed-use development projects for the highest best use by combining fuzzy theory; thus, it identifies a big data-based innovative decision-making method for systemizing the various factors expected to influence real estate development. In this context, the study creates new evaluation fields and factors by integrating both conventional and big-data based high-rise mixed-use projects. The weight of each value was calibrated by relative significance and fuzzy measure using the Analytic Hierarchy Process (AHP) method. A measuring technique that applies analysis methodology to the evaluation areas was developed for more objective and clearer evaluation, and its application in the field was proposed. Evaluators can systematically assess the concerned evaluation areas during development project planning by examining the process. The findings also provided implications for the evaluation system’s operation by reflecting the variability of specific conditions of the varying projects in real estate and urban and land use planning.

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Section: Definition and Elements Of Big Datamentioning

confidence: 99%

An Integrated Methodological Analysis for the Highest Best Use of Big Data-Based Real Estate Development

Kim

Seo

Chung³

2020

Sustainability

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“…Then, business components extracted by an interaction diagram are refined, and the components to be included in the system components that are extracted for defining architecture are found and combined (Bougard et al, 2011;Doherty et al, 2000;Liu and Lachapelle, 2002;Peng, 2016). However, the method has an advantage in that its extraction clearly separate system and business components because it clearly defines the system component that can be functionally reused in respect of system service (Byun, 2017;Balaji and Dakshayini, 2018). On the other hand, the method has disadvantages in that it is hard to discern whether the word in the type diagram has a meaning or not by a work-site operator who has no systemic concept and it is difficult to draw a relation between those words when the operator draws a type diagram to figure out business requirements (Kang and Chung, 2017;Bashar, 2015).…”

Section: Related Workmentioning

confidence: 99%

Reuse-based Navigation Application Modeling Methodology

2020

JSMS

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The recent projects for GNSS component extraction and development process extract system components by extracted use case after requirement analysis to extract business components. Then, business components extracted by an interaction diagram are refined, and the components to be included in the system components that are extracted for defining architecture are found and combined. However, the method has an advantage in that its extraction clearly separate system and business components because it clearly defines the system component that can be functionally reused in respect of system service. On the other hand, the method has disadvantages in that it is hard to discern whether the word in the type diagram has a meaning or not by a work-site operator who has no systemic concept and it is difficult to draw a relation between those words when the operator draws a type diagram to figure out business requirements. In this paper suggests a modeling methodology to build a key business processoriented system based on extraction of key components that is not limited to a certain domain. From this business-oriented perspective, major key components are extracted and applied to relevant application, which contributes to improved software quality such as development, maintenance, productivity, etc. To extract components, necessary functions for a system are classified functionally and hierarchically and modularized. From the process, the self-execution unit is produced for a meaningful service. It does not use the existing procedure-or object-oriented system, a process-oriented component design method, but business-based modeling methodology, and it suggests a process to extract, define, and analyze components that are commonly used in relevant application domains which is a foundation for building GPS system.

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“…1). Sensor nodes use flash memory owing to the low price, compactness, portability, and stability [5].…”

Section: Sensor Databasesmentioning

confidence: 99%

“…That is, only data is important in sensor data networks. From this architectural point of view describe above, sensor network is treated as a huge global database called sensor database [5].…”

Section: Introductionmentioning

confidence: 99%

Sensor Data Transmission Control Using Selective Dynamic Compression for Mobile IoT Devices

Byun¹

2019

IJAST

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Sensor data management is a major component of the Internet of Things(IoT) environment. In this study, we provide a short overview through providing an analysis on wireless sensor networks and sensor databases. Second, we discuss concept of efficient sensor data transmission to cope with unstable sensor nodes and wireless communication failures.To enhance the energy-efficiency and stability of data transmission in this unstable wireless sensor network environment, a new sensor-aware dynamic transmission scheme is proposed. In detail, the classification method for sensoraware transmission mode was devised and the dynamic transmission method was applied to the unstable nodes.The proposed dynamic transmission management skills minimize battery waste and communication failures of unstable sensor nodes. Consequently, unnecessary communication costs and battery energy can be reduced, and overall energy balance can be maintained in the sensor data network.

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Design of Efficient Index Management for Column-based Big Databases

Abstract: The conventional hard disk has been the dominant database storage system for over 25 years. Currently, flash

Cited by 6 publications

References 5 publications

An Integrated Methodological Analysis for the Highest Best Use of Big Data-Based Real Estate Development

An Integrated Methodological Analysis for the Highest Best Use of Big Data-Based Real Estate Development

Reuse-based Navigation Application Modeling Methodology

Sensor Data Transmission Control Using Selective Dynamic Compression for Mobile IoT Devices

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