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In this paper we describe HiPPIS, a system that enables efficient storage and on-line querying of multidimensional data organized into concept hierarchies and dispersed over a network. ... Efficient roll-up and drill-down operations take place in order to maximize the performance by minimizing query flooding. ... THE HIERARCHICAL PEER-TO-PEER INDEXING SYSTEM HiPPIS is a fully dynamic, self-adaptive protocol that can be applied over a P2P overlay in order to provide efficient mechanisms for storing, indexing and ...doi:10.1145/1458502.1458513 dblp:conf/widm/DokaTK08 fatcat:yntjzpz7jjfmvp3uvpkuj4gltm
In this paper we describe a distributed system designed to efficiently store, query and update multidimensional data organized into concept hierarchies and dispersed over a network. ... Our system employs an adaptive scheme that automatically adjusts the level of indexing according to the granularity of the incoming queries, without assuming any prior knowledge of the workload. ... Therefore the system constantly remains online. ...doi:10.1016/j.jpdc.2010.10.005 fatcat:6iseesr5trd33imwlnqih7jvsi
This thesis deals with the storage, indexing and querying of multidimensional data used for analytical processing in large scale distributed systems and aims to create an always-on, real-time data access ... The research process towards this goal starts with HiPPIS, a system that supports concept hierarchies in DHTs, in order to store historical data in various levels of granularity. ... provide an always-on, real-time data access and support for online processing. ...doi:10.26240/heal.ntua.296 fatcat:byq6g2it2jfrdhqs7ndmsatwg4