Energy efficient indexing on air
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Broadcast disks: data management for asymmetric communication environments
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Scheduling on-demand broadcasts: new metrics and algorithms
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Scheduling data broadcast in asymmetric communication environments
Wireless Networks
Broadcast protocols to support efficient retrieval from databases by mobile users
ACM Transactions on Database Systems (TODS)
R × W: a scheduling approach for large-scale on-demand data broadcast
IEEE/ACM Transactions on Networking (TON)
View selection using randomized search
Data & Knowledge Engineering
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Selection of Views to Materialize in a Data Warehouse
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Storage Estimation for Multidimensional Aggregates in the Presence of Hierarchies
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Adaptive Data Broadcast in Hybrid Networks
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Power Conservative Multi-Attribute Queries on Data Broadcast
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Efficient Query Subscription Processing in a Multicast Environment
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
A Semantic Broadcast Scheme for a Mobile Environment Based on Dynamic Chunking
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
Efficient Data Dissemination to Mobile Clients in E-Commerce Applications
WECWIS '01 Proceedings of the Third International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS '01)
Facilitating mobile decision making
WMC '02 Proceedings of the 2nd international workshop on Mobile commerce
Adaptive multiversion data broadcast organizations
Information Systems - Special issue: ADBIS 2002: Advances in databases and information systems
On-demand data broadcasting for mobile decision making
Mobile Networks and Applications
Supporting mobile decision making with association rules and multi-layered caching
Decision Support Systems
FCLOS: A client-server architecture for mobile OLAP
Data & Knowledge Engineering
Enabling OLAP in mobile environments via intelligent data cube compression techniques
Journal of Intelligent Information Systems
Power-aware operator placement and broadcasting of continuous query results
Proceedings of the Ninth ACM International Workshop on Data Engineering for Wireless and Mobile Access
Cascading top-k keyword search over relational databases
Proceedings of the ACM 14th international workshop on Data Warehousing and OLAP
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
Efficient Top-k Keyword Search Over Multidimensional Databases
International Journal of Data Warehousing and Mining
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With the rapid growth in mobile and wireless technologies and the availability, pervasiveness and cost effectiveness of wireless networks, mobile computers are quickly becoming the normal front-end devices for accessing enterprise data. In this paper, we are addressing the issue of efficient delivery of business decision support data in the form of summary tables to mobile clients equipped with OLAP front-end tools. Towards this, we propose a new on-demand scheduling algorithm, called SBS, that exploits both the derivation semantics among OLAP summary tables and the mobile clients' capabilities of executing simple SQL queries. It maximizes the aggregated data sharing between clients and reduces the broadcast length compared to the already existing techniques. The degree of aggregation can be tuned to control the tradeoff between access time and energy consumption. Further, the proposed scheme adapts well to different request rates, access patterns and data distributions. The algorithm effectiveness with respect to access time and power consumption is evaluated using simulation.