An Efficient Interval Query Algorithm Based on Inverted List in Cloud Environment

Interval overlap query has played a more and more significant role in genomics researches and the development of biomedicine. However, traditional query approches based on single computer cannot handle the problem of limited query speed in the query process properly. A new algorithm based on cloud computing technology named CNCList+ has been proposed to increase the query speed. Nevertheless, the mechanism of CNCList+ that it needs to scan the data of subgroups orderly in every query process reduces the degree of query speed enhancement. Considering the significant role of inverted list in data idex area, the concept of inverted list and the technique of cloud computing are combined together in this paper, forming an efficient query algorithm named IQIL to futher speed up the query speed. In addition, detailed comparison experiments between IQIL and CNCList+ prove the superior performance of IQIL on query speed, thus demonstrating the extraordinary ability of IQIL on solving the limited query speed problem of interval overlap query.