Efficient Dynamic SKYCUBE Computation in the Internet of Things
Given a set of k-dimensional objects, the SKYCUBE computation returns a Skyline Cube which consists of skylines of all 2*-l non-empty subspaces. This paper focuses on efficiently balancing the computation cost and update cost of dynamic Sky-Cube computation in the Internet of Things. We design an efficient gridbased algorithm ADSCIT (Algorithm for Dynamic SKYCUBE Computation in the Internet of Things) which includes two modules: (1) continuous maintenance module (CMM), which mainly incrementally update the non-pseudo objects; (2) progressive computation module (PCM), which can fast obtains the Skyline Cube from the updated non-pseudo objects. The detailed theoretical analyses and extensive experiments show that our solution is both efficient and effective.
SkyCube computation Internet of Things query optimization performance study
Zhenhua Huang Yang Xiang Dong Wang Bo Zhang
Department of Computer Science Tongji University Shanghai, China
国际会议
成都
英文
308-311
2010-06-12(万方平台首次上网日期,不代表论文的发表时间)