원문정보
초록
영어
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.
목차
1. Introduction
2. Previous Works
3. Database Mobile Distributed Environments
4. Index Structure And Ranking
5. Distributed Learning Automata
6. Record Suggestion and Identifying the Nearest Neighbors
7. Data Categories And Suggestion Algorithm
8. Consistency Implementation
9. Evaluation Results
10. Conclusions
Appendix: Expected Number of HOPS between MSS
References