Performance Comparison of Bitcoin Prediction in Big Data Environment

Sumarsih C. Purbarani, Wisnu Jatmiko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In today's world, everything is transforming to digital forms. These yield large amount of data. A good analysis of these data can lead to new knowledge about the present situation as well as the future insight. While many advantages could be obtained from these large data, the issue on how to run the Machine Learning on a large dataset as effective and efficient as possible remains an open problem. In this paper, data processing simulation using machine learning algorithm ofLinear Regression is conducted to learn from Bitcoin trading dataset. The simulation is carried out in Apache Spark cluster architecture and GPU. The running time and error of the algorithm implementation in both architectures are compared with each other. The simulation results show similar error performance between Apache Spark cluster and GPU. Yet, Apache Spark can run the simulation faster than GPU.

Original languageEnglish
Title of host publication2018 International Workshop on Big Data and Information Security, IWBIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages99-106
Number of pages8
ISBN (Electronic)9781538655252
DOIs
Publication statusPublished - 24 Sep 2018
Event2018 International Workshop on Big Data and Information Security, IWBIS 2018 - Balai Kartini, Jakarta, Indonesia
Duration: 12 May 201813 May 2018

Publication series

Name2018 International Workshop on Big Data and Information Security, IWBIS 2018

Conference

Conference2018 International Workshop on Big Data and Information Security, IWBIS 2018
CountryIndonesia
CityBalai Kartini, Jakarta
Period12/05/1813/05/18

Keywords

  • Bitcoin
  • GPU
  • Parallelization
  • Spark

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