Study of Effective Scheduling Algorithm for Application of Big Data

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Tanmay Paul
Tanmay Paul
1 Adamas Institute of Technology

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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.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Tanmay Paul. 2017. \u201cStudy of Effective Scheduling Algorithm for Application of Big Data\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 17 (GJCST Volume 17 Issue C1): .

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GJCST Volume 17 Issue C1
Pg. 37- 40
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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April 26, 2017

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English

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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.

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Study of Effective Scheduling Algorithm for Application of Big Data

Tanmay Paul
Tanmay Paul Adamas Institute of Technology

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