Modern distributed applications often have to make a choice about how to main- tain data within the system. Distributed storage systems are often self- contained in a single cluster or are a black box as data placement is unknown by an applica- tion. Using wide area distributed storage either means using multiple APIs or loss of control of data placement. This work introduces Sage, a distributed filesystem that aggregates multiple backends under a common API. It also gives applications the ability to decide where file data is stored in the aggregation. By leveraging Sage, users can create applications using multiple distributed backends with the same API, and still decide where to physically store any given file. Sage uses a layered design where API calls are translated into the appropriate set of backend calls then sent to the correct physical backend. This way Sage can hold many backends at once mak- ing them appear as the same filesystem. The performance overhead of using Sage is shown to be minimal over directly using the backend stores, and Sage is also shown to scale with respect to backends used. A case study shows file placement in action and how applications can take advantage of the feature. / Graduate
| Identifer | oai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/5824 |
| Date | 24 December 2014 |
| Creators | Tredger, Stephen |
| Contributors | Coady, Yvonne |
| Source Sets | University of Victoria |
| Language | English, English |
| Detected Language | English |
| Type | Thesis |
| Rights | Available to the World Wide Web |
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