Proceedings of the tenth international conference on Information and knowledge management
Handbook of wireless networks and mobile computing
Using reordering technique for mobile transaction management in broadcast environments
Data & Knowledge Engineering
A parallel hill climbing algorithm for pushing dependent data in clients-providers-servers systems
Mobile Networks and Applications
Dependent Data Broadcasting for Unordered Queries in a Multiple Channel Mobile Environment
IEEE Transactions on Knowledge and Data Engineering
Performance aspects of data broadcast in wireless networks with user retrials
IEEE/ACM Transactions on Networking (TON)
Wireless real-time on-demand data broadcast scheduling with dual deadlines
Journal of Parallel and Distributed Computing
Scheduling real-time requests in on-demand data broadcast environments
Real-Time Systems
| Hi-index | 0.00 |
The combination of broadcast and on-demand data delivery services is an economic way to build a highly scalable wireless information system with limited bandwidth. The use of data broadcasting should be adaptive so that the system response time can always be minimized. A traditional approach requires the development of a system response time equation in order to find the optimal solution. However, obtaining such an equation is not always possible.We observe that by maintaining a certain level of on-demand request arrival rate, a close approximation to the optimal solution can be obtained. Using this approach, a real-time adaptive data delivery algorithm is developed. Our algorithm does not require the access information of the data items to be known exactly, which is needed normally for this kind of optimization problems. A simple and low overhead bit vector mechanism is able to capture the relative popularities of the data items. With this information, our algorithm can give a performance comparable to the ideal case in which the access information for each data item is known exactly.