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[Author] Kaname HARUMOTO(2hit)

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  • On Strategies for Allocating Replicas of Mobile Databases

    Budiarto  Kaname HARUMOTO  Masahiko TSUKAMOTO  Shojiro NISHIO  Tetsuya TAKINE  

     
    PAPER-Databases

      Vol:
    E81-D No:1
      Page(s):
    37-46

    Mobile databases will play an important role in mobile computing environment, to provide data storing and data retrieval functionalities which are needed by most applications. In mobile computing environment, the wireless communication poses some problems, which require us to minimize its use. Replication is a database technique that is commonly used to fulfill the requirement in minimizing network usage. In this paper, we propose two replica allocation strategies, called primary-copy tracking replica allocation (PTRA) and user majority replica allocation (UMRA), which are better suited to the mobile computing environment. Their proposals are intended to cope with cost performance issues in data replication due to user mobility in mobile computing environment. To investigate their effectiveness, we provide access cost analysis and comparison on these strategies and the static replica allocation (SRA) strategy. We show that our proposed strategies outperform the SRA strategy when user mobility (inter-cell movement) is relatively low as compared with data access rate.

  • On Relocation Decision Policies of Mobile Databases

    BUDIARTO  Kaname HARUMOTO  Masahiko TSUKAMOTO  Shojiro NISHIO  

     
    PAPER-Databases

      Vol:
    E82-D No:2
      Page(s):
    412-421

    Recently, mobile computing has received much attention from database community. Sharing information among mobile users is one of the most challenging issues in mobile computing due to user mobility. Replication is a promising technique to this issue. However, adopting replication into mobile computing is a non-trivial task, since we are still facing other problems such as the lack in disk capacity and wireless network bandwidth used by mobile users. We have proposed a dynamic replica allocation strategy called User Majority Replica Allocation (UMRA) that is well suited to the modern architecture of mobile computing environment while avoiding such problems mentioned above. In this paper, we propose two relocation decision policies for UMRA and we provide a cost analysis for them. We also provide a cost analysis for another replica allocation strategy called Static Replica Allocation (SRA) for a comparison purpose.