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    Middleware framework for distributed cloud storage

    Author
    Hancock, Matthew B.
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    175868_Hancock_rpi_0185N_10598.pdf (2.429Mb)
    Other Contributors
    Varela, Carlos A.; Carothers, Christopher D.; Milanova, Ana;
    Date Issued
    2015-05
    Subject
    Computer science
    Degree
    MS;
    Terms of Use
    This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.;
    Metadata
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    URI
    https://hdl.handle.net/20.500.13015/1433
    Abstract
    The device people use to capture multimedia has changed over the years with the rise of smartphones. Smartphones are readily available, easy to use and capture multimedia with high quality. While consumers capture all of this media, the storage requirements are not changing significantly. Therefore, people look towards cloud storage solutions. The typical consumer stores files within a single provider. They want a solution that is quick to access, reliable, and secure. Using multiple providers can reduce cost and improve overall performance. We present a middleware framework called Distributed Indexed Storage in the Cloud (DISC) to improve all aspects a user expects in a cloud provider. The consumer provides the middleware files, which get processed through user policies, and stored within the cloud. The process of uploading and downloading is essentially transparent. The upload and download performance happens simultaneously by distributing a subset of the file across multiple cloud providers that it deems fit based on policies. Reliability is another important feature of DISC. To improve reliability, we propose a solution that replicates the same subset of the file across different providers. This is beneficial when one provider is unresponsive, the data can be pulled from another provider with the same subset. Security has great importance when dealing with consumer's data. We inherently gain security when improving reliability. Since the file is distributed using subsets, not one provider has the full file. In our experiment, performance improvements show when delivering and retrieving files compared to the standard approach. The results are promising, saving upwards of eight seconds in processing time. With the expansion of more cloud providers, the results are expected to improve.;
    Description
    May 2015; School of Science
    Department
    Dept. of Computer Science;
    Publisher
    Rensselaer Polytechnic Institute, Troy, NY
    Relationships
    Rensselaer Theses and Dissertations Online Collection;
    Access
    Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.;
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    • RPI Theses Online (Complete)
    • RPI Theses Open Access

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