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- W73936522 abstract "The advancement of wireless mobile services, decline in Average Revenue per User (ARPU) due to decrease in call tariffs and the ‘pull effect’ from consumers demanding additional services has led to increased usage of Mobile Value Added Services (MVAS) on a daily basis. The need of the hour is now to improve the efficiency of Mobile Value Added Services. Thus, an attempt is made to optimize the allocation of MVAS data in the server databases by utilizing the knowledge of user moving patterns. Making use of this information, four algorithms have been devised to globally allocate data in a mobile system that will cater to the characteristic of service offered. By employing these algorithms, the access cost, response time and accuracy can be minimized thus improving the performance.KeywordsMobile Valued Added ServicesMobile ComputingMVAS Data Allocation" @default.
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- W73936522 date "2013-01-01" @default.
- W73936522 modified "2023-10-14" @default.
- W73936522 title "Optimization of Data Allocation for Mobile Value Added Services" @default.
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- W73936522 doi "https://doi.org/10.1007/978-3-642-36321-4_27" @default.
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