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 language | English |
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Title of host publication | CCIOT 2019 - 2019 4th International Conference on Cloud Computing and Internet of Things |
Publisher | Association for Computing Machinery |
Pages | 13-18 |
Number of pages | 6 |
ISBN (Electronic) | 9781450372411 |
DOIs | |
State | Published - 20 Sep 2019 |
Event | 4th International Conference on Cloud Computing and Internet of Things, CCIOT 2019 - Tokyo, Japan Duration: 20 Sep 2019 → 22 Sep 2019 |
Publication series
Name | ACM International Conference Proceeding Series |
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Conference
Conference | 4th International Conference on Cloud Computing and Internet of Things, CCIOT 2019 |
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Country/Territory | Japan |
City | Tokyo |
Period | 20/09/19 → 22/09/19 |
Bibliographical note
Publisher Copyright:© 2019 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
Keywords
- Hybrid Cloud
- Render Farm
- Revision-aware Caching