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.
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- Dissemination of Multidimensional Data Using Broadcast Clusters
- Springer Berlin Heidelberg
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