Rate adoptive intelligent transaction caching in distributed mobile environments using learning automata

Mahdi Bazarganigilani

    Research output: Contribution to journalArticlepeer-review

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    Abstract

    Rapid advances in cellular communications, wireless networks and satellite services, leading to the emergence of moving computing systems. Mobility can be problematic when the data is kept and need to be calculated in the databases with moving clients. Disconnection of the mobile unit with wireless networks and the information centre is rampant. When the mobile client is disconnected the information is disrupted and processes and operations are done from scratch. In this paper, a method for predicting the future of information that the user uses them is suggested. Users' data are saved in cache of each client and are available during disconnected times. Such caching schemes avoid too much overhead due to loss of connection. This paper employs a novel method to suggest the nearest records based on vicinity of the interests to the user. Moreover, this work employs an efficient mechanism to update items in cache storage. This avoids from stale data to be served on each client.
    Original languageEnglish
    Pages (from-to)201-216
    Number of pages16
    JournalInternational Journal of Multimedia and Ubiquitous Engineering
    Volume7
    Issue number4
    Publication statusPublished - Oct 2012

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