چکیده (انگلیسی):

Data distribution is one of the crucial issues in Data Base Management Systems (DBMS) in general and in
Mobile environment in Particular. It is important because, if not properly managed, it will cause reduction
in data availability, which in turn causes more rejections in transactions. Replication algorithms (e.g., CCM)
are used to improve data availability. However, the database replication algorithms in general will increase
the storing and communication costs for updates especially when the DB is very large and MU number
is also large; this will lead to a congested network. An alternative approach is to use data allocation
(e.g., TMM-MDB). The data allocation algorithm used in TMM-MDS doesn’t allocate data fairly for
MU and data availability reduced over time. Our study consists of simulation supported by a statistical
method. We examined our proposed algorithm for data distribution called Data allocation using weight
factor for mobile environment. The simulation evaluates the past history and the current claims of the
data allocation in order to find out an improved data distribution method for the mobile environment.
Our simulation results proved that our proposed method increases the data availability in mobile
environment by 75% and distribute data fairly.