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A Multidata Connection Scheme for Big Data High-Dimension Using the Data Connection Coefficient

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  • Yoon-su Jeong
  • Seung-soo Shin

Abstract

In the era of big data and cloud computing, sources and types of data vary, and the volume and flow of data are massive and continuous. With the widespread use of mobile devices and the Internet, huge volumes of data distributed over heterogeneous networks move forward and backward across networks. In order to meet the demands of big data service providers and customers, efficient technologies for processing and transferring big data over networks are needed. This paper proposes a multidata connection (MDC) scheme that decreases the amount of power and time necessary for information to be communicated between the content server and the mobile users (i.e., the content consumers who are moving freely across different networks while using their mobile devices). MDC scheme is an approach to data validation that requires the presentation of two or more pieces of data in a heterogeneous environment of big data. The MDC transmits the difference of the consecutive data sequences instead of sending the data itself to the receiver, thus increasing transmission throughput and speed.

Suggested Citation

  • Yoon-su Jeong & Seung-soo Shin, 2015. "A Multidata Connection Scheme for Big Data High-Dimension Using the Data Connection Coefficient," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-6, October.
  • Handle: RePEc:hin:jnlmpe:931352
    DOI: 10.1155/2015/931352
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