Title :
MAI: multiple attributes integration for deadline-aware pull-based broadcast scheduling
Author :
Cao, Weiwei ; Aksoy, Demet
Author_Institution :
Dept. of Comput. Sci., California Univ., Davis, CA
Abstract :
With the uprising popularity of large-scale applications, highly scalable data delivery is becoming a major requirement. As the downlink bandwidth increases, it becomes critical for these applications to have efficient on-demand scheduling mechanisms to increase the number of users that can be supported for dynamically changing workloads. Meanwhile some emerging applications impose deadlines to complete the broadcast service. In this paper, we consider a time-critical wireless broadcast dissemination approach to meet user specific deadlines. We describe a deadline-aware algorithm, called the multiple attributes integration (MAI), to schedule on-demand requests based on a number of attributes. Our results suggest that MAI can significantly increase the system performance
Keywords :
radio broadcasting; scheduling; MAI deadline-aware algorithm; broadcast service; deadline-aware pull-based broadcast scheduling; downlink bandwidth; highly scalable data delivery; multiple attributes integration; on-demand requests; on-demand scheduling mechanisms; time-critical wireless broadcast dissemination approach; user specific deadlines; Application software; Computer science; Processor scheduling; Satellite broadcasting; Scheduling algorithm; Streaming media; TV broadcasting; Unicast; Weather forecasting; Wireless sensor networks; Broadcast; Deadline-aware; On-Demand; Pull; QoS;
Conference_Titel :
Computer Networks, 2006 International Symposium on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0491-6
DOI :
10.1109/ISCN.2006.1662508