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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jeswani, D. Gupta, M. De, P. Malani, A. Bellur, U. |
| Copyright Year | 2012 |
| Abstract | In Software-as-a-Service (SaaS) cloud delivery model, a hosting center deploys a Virtual Machine (VM) image template on a server on demand. Image templates are usually maintained in a central repository. With geographically dispersed hosting centers, time to transfer a large, often GigaByte sized, template file from the repository faces high latency due to low Internet bandwidth. An architecture that maintains a template cache, collocated with the hosting centers, can reduce request service latency. Since templates are large in size, caching complete templates is prohibitive in terms of storage space. In order to optimize cache space requirement, as well as, to reduce transfers from the repository, we propose a differential template caching technique, called DiffCache. A difference file or a patch between two templates, that have common components, is small in size. DiffCache computes an optimal selection of templates and patches based on the frequency of requests for specific templates. A template missing in the cache can be generated if any cached template can be patched with a cached patch file, thereby saving the transfer time from the repository at the cost of relatively small patching time. We show that patch based caching coupled with intelligent population of the cache can lead to a90% improvement in service request latency when compared with caching only template files. |
| Starting Page | 269 |
| Ending Page | 276 |
| File Size | 324042 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467328920 |
| ISSN | 21596190 |
| DOI | 10.1109/CLOUD.2012.17 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cloud computing Cloud Computing Peer to peer computing Linux Bandwidth Data structures Block-based differencing and patching Virtual Appliance Servers Cache |
| Content Type | Text |
| Resource Type | Article |
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