DocumentCode :
250149
Title :
Render Verse: Hybrid Render Farm for Cluster and Cloud Environments
Author :
Kyungwoon Cho ; Jinwoo Seo ; Joon Kang ; Jinung Lee ; Sangjin Kim ; Jinwoo Park ; Jiyoung Song ; Jungwhan Kim ; Daesuk Kwon
Author_Institution :
R&D Center, Clunix, Inc., Seoul, South Korea
fYear :
2014
fDate :
20-23 Dec. 2014
Firstpage :
6
Lastpage :
11
Abstract :
In this article, we present a hybrid render farm which can accommodate cloud-based rendering servers to extend the rendering capacity of a local cluster render farm. A rendering workload in real world tends to highly fluctuate so a seamless execution environment for overloaded jobs is a strong demand from post-production. However, running a rendering job on a remote cloud has a few challenging issues: input data synchronization and complex infrastructure management. Our proposed Render Verse can overcome mentioned hurdles with an application-aware caching scheme coupled with a repository and a hierarchical server node management.
Keywords :
cloud computing; rendering (computer graphics); RenderVerse; application-aware caching scheme; cloud environments; cloud-based rendering servers; complex infrastructure management; data synchronization; hierarchical server node management; hybrid render farm; local cluster render farm; rendering capacity; rendering workload; Animation; Rendering (computer graphics); Servers; Synchronization; Three-dimensional displays; Cloud; Cluster; Hybrid Render Farm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation (CA), 2014 7th Conference on
Conference_Location :
Haikou
Print_ISBN :
978-1-4799-8205-9
Type :
conf
DOI :
10.1109/CA.2014.9
Filename :
7026250
Link To Document :
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