A framework for scalable dissemination-based systems
Proceedings of the 12th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
R × W: a scheduling approach for large-scale on-demand data broadcast
IEEE/ACM Transactions on Networking (TON)
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
View selection using randomized search
Data & Knowledge Engineering
A Foundation for Multi-dimensional Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Summarizability in OLAP and Statistical Data Bases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
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)
OLAP Databases and Aggregation Functions
SSDBM '01 Proceedings of the 13th International Conference on Scientific and Statistical Database Management
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
FCLOS: A client-server architecture for mobile OLAP
Data & Knowledge Engineering
Optimal query mapping in mobile OLAP
ADBIS'07 Proceedings of the 11th East European conference on Advances in databases and information systems
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The multidimensional modeling of data is steadily gaining popularity, finding adoption not only for business but for scientific applications as well. Data Warehousing is the most prominent example of multidimensional data usage. In parallel, wireless networks, with their rapid growth, already play a fundamental role in facilitating time critical decision-making. Nevertheless, their inherent shortcomings, but also those of the mobile devices operating within their proximity, introduce additional complexity. Access time and energy consumption become, among others, factors that should be taken into consideration. This paper deals with the efficient dissemination of multidimensional data into wireless networks. In this context, a new family of scheduling algorithms, which simultaneously exploits various characteristics both of OLAP data and wireless networks, is introduced. These algorithms clearly outperform existing proposals, on all counts: average access time, energy consumption and network utilization.