Swinburne
Browse

Dynamic cost-effective social network data placement and replication in the cloud

Download (3.86 MB)
thesis
posted on 2024-07-12, 18:30 authored by Hourieh Khalajzadeh
This research analyses and emphasises the importance of data storage for online social network services. It highlights that it is not only crucial to have an optimised data placement to fulfil the users’ acceptable latency requirement in online social networks while incurring the minimum cost for social network providers, but also to keep the data placement effective and efficient over time. The research proposes a dynamic cost effective data placement and replication strategy in geo-distributed cloud services to minimise the monetary cost for social network providers while guaranteeing the individual access latency and availability requirements for social network users.

History

Thesis type

  • Thesis (PhD)

Thesis note

A thesis submitted to Faculty of Science, Engineering and Technology, Swinburne University of Technology for the degree of Doctor of Philosophy, 2018.

Copyright statement

Copyright © 2018 Hourieh Khalajzadeh.

Supervisors

Yun Yang

Language

eng

Usage metrics

    Theses

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC