Study of Effective Scheduling Algorithm for Application of Big Data

Article ID

CSTSDEKI1DG

Study of Effective Scheduling Algorithm for Application of Big Data

Tanmay Paul
Tanmay Paul Adamas Institute of Technology
DOI

Abstract

In this new era with the advancement in the technological world the data storage, analysis becomes a major problem. Although the availability of different data storage component like electronic storage such as hard drive or virtual storage such as cloud still the problems remains. The major issue is processing the data because usually the data is in several format and size. Usually processing such huge amount of data with several formats can be time consuming. Using of application such as Hadoop can be beneficial but using of scheduling algorithm can be the best way to for data set analysis to make the process time efficient and analysis the requirement of different scheduling algorithm for the specific data set. In this paper we analysis different data set to explain the most effective scheduling algorithm for that specific data set and then store and execute data set after processing.

Study of Effective Scheduling Algorithm for Application of Big Data

In this new era with the advancement in the technological world the data storage, analysis becomes a major problem. Although the availability of different data storage component like electronic storage such as hard drive or virtual storage such as cloud still the problems remains. The major issue is processing the data because usually the data is in several format and size. Usually processing such huge amount of data with several formats can be time consuming. Using of application such as Hadoop can be beneficial but using of scheduling algorithm can be the best way to for data set analysis to make the process time efficient and analysis the requirement of different scheduling algorithm for the specific data set. In this paper we analysis different data set to explain the most effective scheduling algorithm for that specific data set and then store and execute data set after processing.

Tanmay Paul
Tanmay Paul Adamas Institute of Technology

No Figures found in article.

Tanmay Paul. 2017. “. Global Journal of Computer Science and Technology – C: Software & Data Engineering GJCST-C Volume 17 (GJCST Volume 17 Issue C1): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Issue Cover
GJCST Volume 17 Issue C1
Pg. 37- 40
Classification
H.2.8
Keywords
Article Matrices
Total Views: 6691
Total Downloads: 1660
2026 Trends
Research Identity (RIN)
Related Research
Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Study of Effective Scheduling Algorithm for Application of Big Data

Tanmay Paul
Tanmay Paul Adamas Institute of Technology

Research Journals