Earticle

초록

영어

As a result of tremendous rise in internet usage like social media and forums, mail systems, scholarly and research articles, daily online transactions from multiple sources like health care systems, meteorological and environmental organizations etc., the data collected has shoot up exponentially. This vast collection of data, called Big Data, has caused the traditional tools incompetent for managing it from either of storage, computing or analytical perspective. There is an immense need of architectures, platforms, tools, techniques and algorithms to handle Big Data. The available technologies deal with two broad aspects related to Big Data that are Big Data Storage Management and Big Data Computing, focused to overcome various challenges such as scalability, faster processing speed, multiple format data processing, availability, faster response time and analytics etc. This paper reviews recent trends of storage and computing tools with their relative capabilities, limitations and environment they are suitable to work with.

목차

Abstract
 1. Introduction
  1.1 Big Data Formats and its Sources
  1.2 Big Data Characteristics and Big Data Challenges
  1.3 Need for Big Data Management and Processing
  1.4 Organization of Paper
 2. Big Data Storage and Computing Paradigms and Tools
  2.1 Big Data Computing / Processing Tools
  2.2. Big Data Storage Tools
 3. Results and Discussion
  3.1. Comparison of Computing Tools
  3.2. Comparison of Storage Paradigms/Tools
 4. Conclusion
 References

키워드

저자

• Bakshi Rohit Prasad [ Indian Institute of Information Technology Allahabad ]
• Sonali Agarwal [ Indian Institute of Information Technology Allahabad ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605