Data broadcasting strategies over multiple unreliable wireless channels
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Broadcast disks: data management for asymmetric communication environments
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Scheduling data broadcast in asymmetric communication environments
Wireless Networks
Efficient algorithms for scheduling data broadcast
Wireless Networks
Efficient Data Allocation over Multiple Channels at Broadcast Servers
IEEE Transactions on Computers
Data on Air: Organization and Access
IEEE Transactions on Knowledge and Data Engineering
Multi-Level Multi-Channel Air Cache Designs for Broadcasting in a Mobile Environment
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Efficient data access to multi-channel broadcast programs
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Exponential index: a parameterized distributed indexing scheme for data on air
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Optimal Skewed Data Allocation on Multiple Channels with Flat Broadcast per Channel
IEEE Transactions on Computers
TOSA: a near-optimal scheduling algorithm for multi-channel data broadcast
Proceedings of the 6th international conference on Mobile data management
FlexSched: A Parameterized Data Schedule Generator for Multi-Channel Broadcast Systems
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
An Energy-Efficient and Access Latency Optimized Indexing Scheme for Wireless Data Broadcast
IEEE Transactions on Knowledge and Data Engineering
SOM: Dynamic Push-Pull Channel Allocation Framework for Mobile Data Broadcasting
IEEE Transactions on Mobile Computing
Hi-index | 0.00 |
Data broadcast is an efficient way to disseminate information to large numbers of users in wireless environments. The Square Root Rule (SRR) is the theoretical basis for the single channel broadcast scheduling. In this paper, we extend the SRR and propose the Multi-channel Square Root Rule (MSRR) for scheduling variable-length data with skewed access probabilities on variable-bandwidth channels. The theoretical optimal average access latency is also provided. However, this optimal value can not be achieved in reality. Based on MSRR, we provide a two-phase scheduling algorithm which achieves near optimal access latency. First data are partitioned and allocated to different channels according to MSRR. Second, different scheduling strategies are adopted on each channel according to the skewness of data subset allocated on that channel. Experiments show that the difference of average access latency between our results and the optimal value is below five percent in most situations.