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Big and Meta Data Management for U-Agriculture Mobile Services

초록

영어

Big Data is a huge amount of data generated continuously and it extracts the meaning, structure, and relationships in enormously large data sets. Metadata is defined as data about data, where is comes from, and when it was taken etc. Metadata is a supplementary data and is generally related with a certain piece of data (big data) that is more important. Metadata helps in making value added decisions and information about own data travelling for big data. This paper communicates about big data, metadata and their management associated to u-agriculture mobile services and lime lights more on sensors that are integrated and built-in. B&M (Big and Meta) data management is very challenging and is strong topic for research currently. Firstly, this paper reviews B&M data and their management. Also presents relationship between big data and Metadata and challenges. And also types of sensors, techniques, technologies, applications, and advantages of various types of sensors for u-agriculture mobile services in their decision making. Finally presents architecture for U-Agriculture Mobile Services based on Sensor-Cloud Infrastructure which helps not only farms and also applications, services provides and organisations in management of B&M data.

목차

Abstract
 1. Introduction
 2. Big Data and Metadata Management:
  2.1. Big Data:
  2.2. Big Data Management:
  2.3. What is the Big Data’s Big Deal?
  2.4. Meta Data:
  2.5. Metadata and Big Data Relationship:
  2.6. Metadata Management:
 3. B&M Data Management Challenges:
 4. B&M Data Management for U-Agriculture Mobile Services:
 5. Future of B&M Data:
 6. Conclusion and Future Works
 References

저자정보

  • Chandra Sukanya Nandyala School of Information Technology, Catholic University of Daegu, Korea
  • Haeng-Kon Kim School of Information Technology, Catholic University of Daegu, Korea

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