A System for Evaluating Big Data Analytics Performance
Ismail Mohamed1, Yusmadi Yah Jusoh2, Rusli Abdullah3, Rozi Nor Haizan Nor4, Lilly Suriani Affendey5
1SIsmail Mohamed, Faculty of Computing, SIMAD Uinversity.
2Yusmadi Yah Jusoh, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia.
3Rusli Abdullah, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia.
4Rozi Nor Haizan Nor, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia.
5Lilly Suriani, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 1679-1683 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2637109119/2019©BEIESP | DOI: 10.35940/ijeat.A2637.109119
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Despite of advances in systems and practices, performancemeasurement remains instrumental in helping organization discoverexistingproblems and propose viable solutions. On big data Analytics (BDA), more efforts are being focused, butperformance side is still a room for improvement. This paper discusses the development and implementation of performance measurement prototype system for big data systems. With this system, organizations can continually assess the performance gains and setbacks of their big data systems. The systems were developed based on measures and metrics retrieved from the extant literature. Then it was evaluated through review of subject-matter experts and usability survey. The development process of the prototype and the results of the evaluation are presented in this paper.
Keywords: BDA, Performance Measures, Evaluation, Prototype.