Energy efficient indexing on air
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Mobile wireless computing: challenges in data management
Communications of the ACM
Broadcast disks: data management for asymmetric communication environments
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Efficient indexing for broadcast based wireless systems
Mobile Networks and Applications - Special issue on mobile computing and system services
Scheduling on-demand broadcasts: new metrics and algorithms
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Broadcast protocols to support efficient retrieval from databases by mobile users
ACM Transactions on Database Systems (TODS)
Flow and stretch metrics for scheduling continuous job streams
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Disseminating Updates on Broadcast Disks
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Broadcast Scheduling for Information Distribution
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Scheduling Periodic Wireless Data Broadcast
Scheduling Periodic Wireless Data Broadcast
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In mobile wireless systems data on air can be accessed by a large number of mobile users. Many of these applications such as wireless internets and traffic information systems are pull-based, that is, they respond to on-demand user requests. In this paper, we study the scheduling problems of on-demand broadcast environments. Traditionally, the response time of the requests has been used as a performance measure. In this paper we consider the performance as the average cost of request composed of three kinds of costs—access time cost, tuning time cost, and cost of handling failure request. Our main contribution is a self-adaptive scheduling algorithm named LDFC, which computes the delay cost of data item as the priority for broadcast. It performs well compared with some previous algorithms in this context.