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Research Article

Year : 2018 | Volume: 11 | Issue: 3 | Pages: 124-128

A Survey on optimising difficulty measures and maximising reliability in Analytics and Big Data Computations on Cloud

K.Selvamani1*, S.Ramamoorthy2

DOI: 10.20894/STET.116.011.003.002

Corresponding author

K.Selvamani*

Dy.Manager-HR-CorpSuper Auto Forge Private Limited, Kolapakkam,Vandaloore, Chennai-127, Tamilnadu, India.

  • 1. Dy.Manager-HR-CorpSuper Auto Forge Private Limited, Kolapakkam,Vandaloore, Chennai-127, Tamilnadu, India.
  • 2. Department of Computer Applications, Dr. MGR University, Maduravoyal, Chennai-600 092, Tamilnadu, India.

Received on: 29/08/2018

Revised on: 30/11/-0001

Accepted on: 29/08/2018

Published on: 29/08/2018

  • K.Selvamani, S.Ramamoorthy (2018), A Survey on optimising difficulty measures and maximising reliability in Analytics and Big Data Computations on Cloud. Scientific Transactions in Environment and Technovation, 11(3): 124-128. doi: 110.20894/STET.116.011.003.002

Abstract

Currently society has been surrounded with various developing activities in utilizing generated data. Most Popular and demanding concepts of big data analytics, have become more computational than reliable. Study on big data analytics ensures to provide, data management and related frameworks, various business models related to user interactions by identifying available gaps in the technology, provides challenges and open issues using cloud related to big data and analytics. Parallely, cloud computing is a solution to reduce the problems by enabling the services by modifying the system to the exact demand. This paper provides deep understanding of approaches and environments in big data environment related to cloud and workflow of the basic phases of big data analytics and timely state of every stage of cloud related analytics by providing cloud computational trust models.

Keywords

Data Mining, Analytics, Cloud computing , Difficulty measures in Big Data, Computational trust