Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
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ACM Transactions on Database Systems (TODS)
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Storage Estimation for Multidimensional Aggregates in the Presence of Hierarchies
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A Foundation for Multi-dimensional Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Hand-OLAP: A System for Delivering OLAP Services on Handheld Devices
ISADS '03 Proceedings of the The Sixth International Symposium on Autonomous Decentralized Systems (ISADS'03)
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On-demand data broadcasting for mobile decision making
Mobile Networks and Applications
Multidimensional querying in wireless ad hoc networks
Proceedings of the 2007 ACM symposium on Applied computing
Dissemination of multidimensional data using broadcast clusters
ICDCIT'05 Proceedings of the Second international conference on Distributed Computing and Internet Technology
FCLOS: A client-server architecture for mobile OLAP
Data & Knowledge Engineering
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Query mapping to aggregation lattices is used in order to exploit sub-cube dependencies in multidimensional databases. It is employed in mobile OLAP dissemination systems, in order to reduce the number of handled data items and thus optimize their scheduling and dissemination process. This paper analyzes the impact of choosing between mapping to the data cube lattice or alternatively to the respective hierarchical data cube lattice. We analyze the involved tradeoffs and identify the exploitation degree of sub-cube derivability as the deciding factor. We therefore introduce an analytical framework which computes derivability related probabilities and thus facilitates the quantification of this degree. The information provided by the framework is consistent with experimental results of state of the art mobile OLAP dissemination systems.