과거 위치 색인에서 입력/검색 비용 조정을 위한 가변 버퍼 노드 기법 설계

Abstract

Various applications of LBS (Location Based Services) are being developed to provide the customized service depending on user`s location with progress of wireless communication technology and miniaturization of personalized device. To effectively process an amount of vehicles` location data, LBS requires the techniques such as vehicle observation, data communication, data insertion and search, and user query processing. In this paper, we propose the historical location index, GIP-FB (Group Insertion tree with Flexible Buffer Node) and the flexible buffer node technique to adjust the cost of data insertion and search. the designed GIP+ based index employs the buffer node and the projection storage to cut the cost of insertion and search. Besides, it adjusts the cost of insertion and search by changing the number of line segments of the buffer node with user defined time interval. In the experiment, the buffer node size influences the performance of GIP-FB by changing the number of non-leaf node of the index. the proposed flexible buffer node is used to adjust the performance of the historical location index depending on the applications of LBS.