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A data-assisted reliability model for carrier-assisted cold data storage systems

Author

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  • Arslan, Suayb S.
  • Peng, James
  • Goker, Turguy

Abstract

Cold data storage systems are used to allow long term digital preservation for institutions’ archive. The common functionality among cold and warm/hot data storage is that the data is stored on some physical medium for read-back at a later time. However in cold storage, write and read operations are not necessarily done in the same exact geographical location. Hence, a third party assistance is typically utilized to bring together the medium and the drive. On the other hand, the reliability modeling of such a decomposed system poses few challenges that do not necessarily exist in other warm/hot storage alternatives such as fault detection and absence of the carrier, all totaling up to the data unavailability issues. In this paper, we propose a generalized non-homogenous Markov model that encompasses the aging of the carriers in order to address the requirements of today’s cold data storage systems in which the data is encoded and spread across multiple nodes for the long-term data retention. We have derived useful lower/upper bounds on the overall system availability. Furthermore, the collected field data is used to estimate parameters of a Weibull distribution to accurately predict the lifetime of the carriers in an example scale-out setting.

Suggested Citation

  • Arslan, Suayb S. & Peng, James & Goker, Turguy, 2020. "A data-assisted reliability model for carrier-assisted cold data storage systems," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:reensy:v:196:y:2020:i:c:s0951832019305113
    DOI: 10.1016/j.ress.2019.106708
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    References listed on IDEAS

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    1. Zhu, Xiaoyan & Wang, Jun & Yuan, Tao, 2019. "Design and maintenance for the data storage system considering system rebuilding process," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    2. Ye, Zhi-Sheng & Xie, Min & Tang, Loon-Ching, 2013. "Reliability evaluation of hard disk drive failures based on counting processes," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 110-118.
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    Cited by:

    1. Li, Xianxiong & Lan, Xinbo & Mirzaei, A & Aghdam Bonab, Mohammad Jalilvand, 2022. "Reliability and robust resource allocation for Cache-enabled HetNets: QoS-aware mobile edge computing," Reliability Engineering and System Safety, Elsevier, vol. 220(C).

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