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        Chapter 16 Cloud Backup and Restore

        Proposal review

        The Infrastructure of Digital Failure

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        Author(s)
        Taylor, A.R.E.
        Language
        English
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        Abstract
        Digital devices are prone to failure. An increasing range of cloud backup solutions aim to ensure that no matter what should happen to a user’s device, their files and data can be quickly re-downloaded and re-installed on a new device with ease. If the failure or breakdown of a digital device may once have resulted in a potentially devastating data loss event, cloud backup and recovery tools work to reduce the disruptive impact of device failure. This has implications for theories of failure that are based on the premise that breakdown or failure are disruptive events. Drawing on Apple’s cloud-based data backup and restore service, this chapter conceptualises the cloud as an infrastructure designed to anticipate and absorb digital failure. In doing so, it explores how cloud services bolster cultures of routine device upgrading and e-waste production.
        Book
        Routledge International Handbook of Failure
        URI
        https://library.oapen.org/handle/20.500.12657/60708
        Keywords
        digital failure, breakdown, cloud backup, restoration
        DOI
        10.4324/9780429355950-20
        ISBN
        9780429355950, 9780367404048, 9781032371047
        Publisher
        Taylor & Francis
        Publisher website
        https://taylorandfrancis.com/
        Publication date and place
        2023
        Grantor
        • University of Exeter
        Imprint
        Routledge
        Classification
        Society and culture: general
        Sociology
        Pages
        15
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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