Performance Study of Multiple Subspace Skyline Queries in Service Management

Subspace Skyline query processing has recently received a lot of attention in service management community. The AOMSSQ algorithm is the most efficient method for optimizing multiple subspace skyline queries in multi-user environments. In this paper, we first study the performance of the AOMSSQ algorithm. Then based on the Bloom Filters technology, an novel solution is proposed to improve the efficiency of the AOMSSQ algorithm. We present the extensive experiments that demonstrate our improved solution is both efficient and effective.