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Human-centric storage resource mechanism for big data on cloud service architecture

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Abstract

With the rapid advancement of information technology in recent years, significant research addressing the efficient storage of big data has been conducted. Traditionally, big data with media-driven service have simply implied extensive amounts of data. However, this definition has evolved to include the extraction of values, analysis, and the prediction of results from a vast volume of unstructured and varied datasets. Because of the explosive growth of computer processing technologies, the creation of big data has originated from unstructured data, text data, image data, and location data created by a variety of digital devices. Classically, the storage of big data has been administered by companies that provide storage services or by specialized storage companies. Significant cost is incurred to store big data efficiently and maintain sufficient storage requirements, which increase continuously. In this paper, a human-centric Resource-Integrated System for Big Data (RISBD) is proposed that utilizes the resources of legacy desktop computers for big data storage to future communication. This is advantageous in terms of the cost of implementing a new storage system. Furthermore, it provides high storage scalability because it is an XML-based standard storage integration system developed using software.

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Acknowledgments

This Research has been performed as a subproject of project Global Science experimental Data hub Center (GSDC) and supported by the KOREA INSTITUTE of SCIENCE and TECHNOLOGY INFORMATION (KISTI). And also this research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2014R1A1A2053564).

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Authors and Affiliations

  1. Department of Multimedia Engineering, Dongguk University, Seoul, 100-715, Republic of Korea

    Hyun-Woo Kim & Young-Sik Jeong

  2. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, 139-743, Republic of Korea

    Jong Hyuk Park

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  1. Hyun-Woo Kim
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  2. Jong Hyuk Park
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Correspondence to Young-Sik Jeong.

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Kim, HW., Park, J.H. & Jeong, YS. Human-centric storage resource mechanism for big data on cloud service architecture. J Supercomput 72, 2437–2452 (2016). https://doi.org/10.1007/s11227-015-1390-3

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