Pengembangan Prototipe Sistem Network Rendering Alternatif Berbasis JPPF

  • I Made Putrama Universitas Pendidikan Ganesha
  • I Wayan Adi Sparta Universitas Pendidikan Ganesha
  • I Gede Mahendra Darmawiguna Universitas Pendidikan Ganesha
  • Gede Saindra Santyadiputra Universitas Pendidikan Ganesha
Keywords: rendering jaringan, grid computing, Blender 3D, animasi

Abstract

Rendering is a stage to turn a model into a 3D animated video form. Rendering process takes a long time and requires hardware support with high specifications. Unfortunately, computers for rendering purpose with high specifications are generally very expensive. An alternative solution to this problem is to utilize grid computing technology that can take advantage of some ordinary computers configured in the network. Together, those computers can help complete rendering process more quickly. In this paper, the rendering solution is achieved by combining the grid computing technology-based framework, called JPPF, that can be integrated using Blender 3D. Blender 3D is one of the common software used in making animated films. In this paper, the solution result is also compared with the one from the network-based rendering feature of the Blender 3D, called Network Rendering, as a performance benchmark. The comparison results show that this alternative solution works with relatively better performance and flexibility and is easier to operate than the features provided in 3D Blender.

References

“WBDL - Web Based Digital Library.” [Online]. Available: http://pti.undiksha.ac.id/digilib/. [Diakses: 13-Jan-2018].

J. M. Blain, The Complete Guide to Blender Graphics. CRC Press, 2013.

P. Bui, T. Boettcher, N. Jaeger, and J. Westphal, “Using clusters in undergraduate research: Distributed animation rendering, photo processing, and image transcoding,” Proc. - IEEE Int. Conf. Clust. Comput. ICCC, 2013.

F. Berman, G. Fox, and T. Hey, Grid Computing (Making the Global Infrastructure a Reality). John Wiley and Sons, 2003.

JPPF.org, “JPPF Framework,” 2017. [Online]. Available: http://jppf.org/. [Diakses: 19-Jul-2017].

J. Xiong, J. Wang, and J. Xu, “Research of distributed parallel nformation retrieval based on JPPF,” Proc. - 2010 Int. Conf. Inf. Sci. Manag. Eng. ISME 2010, vol. 1, August, hlm. 109–111, 2010.

B. . Argarwal, S. . Tayal, and M. Gupta, Software Engineering & Testing (An Introduction). Jones AndBartlett Publishers, 2010.

R. K. Yin, Case Study Research: Design and Methods, 4th ed. SAGE Publications, Inc., 2009.

D. H. J. Epema, C. Franke, A. Iosup, L. Schley, B. Song, and R. Yahyapour, On Grid Performance Evaluation using Synthetic Workloads, part of Lecture Notes in Computer Science, Berlin, Heidelb.: Springer, 2006.

K. Trammell, “Setting Up a Renderfarm,” www.cgcookie.com, 2016.

[Online]. Available: https://cgcookie.com/tutorial/setting-up-arenderfarm.

FFmpeg.org, “FFmpeg,” 2017. [Online]. Available: http://ffmpeg.org/. [Diakses: 19-Jul-2017].

Hazelcast.org, “Hazelcast.org - The Leading Open Source In-Memory Data Grid,” 2017. [Online]. Available: https://hazelcast.org/. [Diakses: 19-Jul-2017].

Published
2018-03-05
How to Cite
I Made Putrama, I Wayan Adi Sparta, I Gede Mahendra Darmawiguna, & Gede Saindra Santyadiputra. (2018). Pengembangan Prototipe Sistem Network Rendering Alternatif Berbasis JPPF. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 7(1), 13-20. Retrieved from https://journal.ugm.ac.id/v3/JNTETI/article/view/2786
Section
Articles