An analysis of relationship between storage usage distribution and per-user quota value

Yoshiaki Kasahara, Eisuke Ito, Takuya Kawatani, Koichi Shimozono

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    To prevent resource (especially storage) shortage, information systems such as storage services and email services usually impose an upper bound of resource consumption (quota) per user. In a conservative way, an administrator tends to set a quota value such as the storage capacity divided by the expected maximum number of users for safety and fairness, but it tends to leave large unused storage space, because the users' storage usage pattern shows a long-tailed distribution. In this paper, we analyzed storage usage distribution of some email services to approximate the distribution using a power-law distribution, and proposed a method to calculate an optimal quota value from a target size of storage consumption to increase storage utilization. We applied an optimal quota value we calculated to a real email service and analyzed the effect of quota change. Then, we analyzed actual distributions further to find a better model to approximate the distribution, and found that a lognormal distribution explained the distribution better than powerlaw. We also analyzed two other universities' email service to find similar distribution in these systems.

    Original languageEnglish
    Title of host publicationSIGUCCS 2016 - Proceedings of the 2016 ACM SIGUCCS Annual Conference
    PublisherAssociation for Computing Machinery
    Pages153-158
    Number of pages6
    ISBN (Electronic)9781450340953
    DOIs
    Publication statusPublished - Nov 1 2016
    Event44th Annual ACM Special Interest Group on University and College Computing Services Conference, SIGUCCS 2016 - Denver, United States
    Duration: Nov 6 2016Nov 9 2016

    Publication series

    NameProceedings ACM SIGUCCS User Services Conference
    Volume06-09-November-2016

    Other

    Other44th Annual ACM Special Interest Group on University and College Computing Services Conference, SIGUCCS 2016
    CountryUnited States
    CityDenver
    Period11/6/1611/9/16

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Software
    • Information Systems
    • Education

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