Revision-aware caching for hybrid cloud render farm

Kyungwoon Cho, Hyokyung Bahn

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Render farm is a bunch of networked servers dedicated to render image in a distributed or parallel fashion. The capacity of in-house render farm has an upper bound but a rendering workload in real world tends to highly fluctuate. Thus execution of overloaded jobs on a remote cloud in a seamless way is very attractive to build cost-effective rendering infrastructures. However, extending a render farm from a cluster to a public cloud is not straightforward. The most critical obstacle is data synchronization between render farms. A simple approach to overcome this issue is that rendering data are uploaded to or downloaded from public cloud. This kind of configuration is used by most cloud-based rendering services. Despite its simplicity, data synchronization by an explicit data transferring imposes a heavy burden on a user and incurs unnecessary data transmission as well as startup latency. A more elaborated data synchronization technique armed with an on-demand fetch and cooperative caching can ease the burden and improve a rendering throughput by exploiting rendering workload characteristics. Our proposed revision-aware caching is that rendering data identifiable with additional revisions are cached on cloud and are fetched from on-premises revision-aware repository or a cache pool of peer cloud node. We proved the performance of our scheme via experiments based on synthetic workload and real workload.

Original languageEnglish
Title of host publicationCCIOT 2019 - 2019 4th International Conference on Cloud Computing and Internet of Things
PublisherICST
Pages13-18
Number of pages6
ISBN (Electronic)9781450372411
DOIs
StatePublished - 20 Sep 2019
Event4th International Conference on Cloud Computing and Internet of Things, CCIOT 2019 - Tokyo, Japan
Duration: 20 Sep 201922 Sep 2019

Publication series

NamePervasiveHealth: Pervasive Computing Technologies for Healthcare
ISSN (Print)2153-1633

Conference

Conference4th International Conference on Cloud Computing and Internet of Things, CCIOT 2019
Country/TerritoryJapan
CityTokyo
Period20/09/1922/09/19

Bibliographical note

Funding Information:
This work was partly supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. NRF-2016R1A6A3A11930295) and Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (No. IITP 2019-0-00074)

Publisher Copyright:
© 2019 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

Keywords

  • Hybrid Cloud
  • Render Farm
  • Revision-aware Caching

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