Load balancing in distributed point cloud databases

Abstract. There are several approaches related to handling and storing massive amounts of multidimensional data. State-of-the-art database systems use shared-nothing architecture for scalable spatial data management and indexing where data co-location and query load balancing are the primary objectives. Hence, data placement is an important component of efficiency. Szalai–Gindl et al. (SG17) proposed a data distribution algorithm for this task in an earlier work [26]. This paper investigates the improvement possibilities of that algorithm.