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العنوان
Performance Evaluation of Distributed
Databases for Mobile Networks \
المؤلف
Salem,Rashed Khalil Khalil.
هيئة الاعداد
باحث / راشد خليل خليل
مشرف / محمى محمد هدهود
مشرف / نبيل عبد الواحد
مشرف / وائل شوقى الكيلانى
تاريخ النشر
2007.
عدد الصفحات
107p.;
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Information Systems
تاريخ الإجازة
1/1/2007
مكان الإجازة
جامعة المنوفية - كلية الحاسبات والمعلومات - تكنولوجيا المعلومات
الفهرس
Only 14 pages are availabe for public view

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from 171

Abstract

Managing location information of mobile terminals is an important issue in mobile computing
systems. Unfortunately, current standards of location management techniques, such as GSM and IS-41,
behave inefficiently for mobile terminals moving between the same set of areas, or users tending to
call and move in a fzxed pattern. This is in turn results in a high location management cost. The
two main operations of location management are Location update (LV) and Paging operations. There is
a trade-off between the costs for location update and paging. Several approaches have been proposed
to tackle with this problem. One of the most efficient techniques is to replicate user profile
according to the most frequently visited location areas. To the best of our knowledge, none of the
location management techniques utilizing replicated databases has reduced both location update cost
and paging cost. In this thesis, we propose a new location management methodology based on
replicated databases to reduce the cost of both of the two location management operations. The
proposed methodology makes use of the mobile station to build a user profile carrying information
of the most Frequently Visited Location Area (FVLA). Henceforward, these location areas can be
used as replication placement to enhance the performance of our methodology, we have classified
users according to their mobility behaviors into three classes; low-mobility, medium-mobility, and
high-mobility. We compare the performance of our methodology with that of GSM and other replicated
databases location management techniques in respect of communication cost, database cost, and total
cost. Simulation results show that the proposed methodology performs better than other techniques.