Broadcast disks: data management for asymmetric communication environments
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Scheduling on-demand broadcasts: new metrics and algorithms
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Efficient algorithms for scheduling data broadcast
Wireless Networks
Scheduling data broadcast to “impatient” users
Proceedings of the 1st ACM international workshop on Data engineering for wireless and mobile access
R × W: a scheduling approach for large-scale on-demand data broadcast
IEEE/ACM Transactions on Networking (TON)
Approaches for broadcasting temporal data in mobile computing systems
Journal of Systems and Software
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolution strategies –A comprehensive introduction
Natural Computing: an international journal
Broadcast on Demand: Efficient and Timely Dissemination of Data in Mobile Environments
RTAS '97 Proceedings of the 3rd IEEE Real-Time Technology and Applications Symposium (RTAS '97)
Value vs. deadline scheduling in overload conditions
RTSS '95 Proceedings of the 16th IEEE Real-Time Systems Symposium
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
Adaptive dissemination of data in time-critical asymmetric communication environments
Mobile Networks and Applications
Scheduling broadcasts with deadlines
Theoretical Computer Science - Special papers from: COCOON 2003
On Recent Advances in Time/Utility Function Real-Time Scheduling and Resource Management
ISORC '05 Proceedings of the Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
Wireless real-time on-demand data broadcast scheduling with dual deadlines
Journal of Parallel and Distributed Computing
Utility Accrual Real-Time Scheduling under Variable Cost Functions
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Time-Critical On-Demand Data Broadcast: Algorithms, Analysis, and Performance Evaluation
IEEE Transactions on Parallel and Distributed Systems
Framework for Task Scheduling in Heterogeneous Distributed Computing Using Genetic Algorithms
Artificial Intelligence Review
IEEE Transactions on Computers
Scheduling real-time requests in on-demand data broadcast environments
Real-Time Systems
Pervasive data access in wireless and mobile computing environments: Research Articles
Wireless Communications & Mobile Computing
Adaptive data-aware utility-based scheduling in resource-constrained systems
Adaptive data-aware utility-based scheduling in resource-constrained systems
On multiprocessor utility accrual real-time scheduling with statistical timing assurances
EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing
A request-routing framework for SOA-based enterprise computing
Proceedings of the VLDB Endowment
Utility driven optimization of real time data broadcast schedules
Applied Soft Computing
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Data dissemination in pervasive environments is often accomplished by on-demand broadcasting. The time critical nature of the data requests plays an important role in scheduling these broadcasts. Most research in on-demand broadcast scheduling has focused on the timely servicing of requests so as to minimize the number of missed deadlines. However, there exists many pervasive environments where the utility of the data is an equally important criterion as its timeliness. Missing the deadline reduces the utility of the data but does not make it zero. In this work, we address the problem of scheduling on-demand data broadcasts with soft deadlines. We investigate search based optimization techniques to develop broadcast schedulers that make explicit attempts to maximize the utility of data requests as well as service as many requests as possible within the acceptable time limit. Our analysis shows that heuristic driven methods for such problems can be improved by hybridizing them with local search algorithms. We further investigate the option of employing a dynamic optimization technique to facilitate utility gain, thereby surpassing the requirement of a heuristic in the process. An evolution strategy based stochastic hill climber is investigated in this context.