Processing Weather Sensor Data Using Iterative MapReduce Approach

Abstract

Big Data is the most promising research area in the field of Cloud Computing. In areas like social networking applications, e- commerce, finance, health care, education, etc, huge amount of data is being accumulated. As new data and updates are constantly arriving, the results of data mining applications become stale and obsolete over time. Hence another approach is required for mining big data. Hence in this paper, an iterative approach is introduced which is an extension of already existing map reduce approach. This iterative approach is experimented with the real time weather sensor data for particular area. Furthermore, the performance is compared with the existing data mining applications of big data.

Authors and Affiliations

B. Vasudevan, A. S. Shanthi

Keywords

Related Articles

Performance and Emission Characteristics of a CI Engine Fueled With Diesel- Waste Fried Oil Blend with Dee as Additive

An experimental study is conducted to evaluate the effects of using diethyl ether as additive to waste fried oil/diesel blend on the performance and emissions of a direct injection diesel engine. The waste fried oil and...

Increasing Reliability in Grid Computing By Layered Security Architecture

In this paper we described four layer architecture of Grid Computing System, analyzes security requirements and problems existing in Grid Computing System. This paper presents a new approach of five layer security archi...

Criminal Face Identification System

Criminal record generally contains personal informzation about particular person along with photograph. To identify any Criminal we need some identification regarding person, which are given by eyewitness. In most cases...

Design of Automatic Transformer Winding Machine

In this Paper “Design of Automatic transformer Winding Machine” main attention is to reduce effort behind manually operated machine. And implement the idea of automation in coil winding machine at minimum manufacturing...

Use of Copper Tailings as the Partial Replacement of Sand in Concrete

In India, 4 million tons of copper tailings produce every year, out of which 25,000 tons produce in Khetri Copper Mines, Khetri, and Rajasthan. This research was undertaken to study the effects of copper mine tailings a...

Download PDF file
  • EP ID EP21387
  • DOI -
  • Views 215
  • Downloads 3

How To Cite

B. Vasudevan, A. S. Shanthi (2015). Processing Weather Sensor Data Using Iterative MapReduce Approach. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(11), -. https://europub.co.uk/articles/-A-21387