Maintaining dynamic channel profiles on the web
Proceedings of the VLDB Endowment
New models and algorithms for throughput maximization in broadcast scheduling
WAOA'10 Proceedings of the 8th international conference on Approximation and online algorithms
Processing flows of information: From data stream to complex event processing
ACM Computing Surveys (CSUR)
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Emerging applications on the Web require better management of volatile data in pull-based environments. In a pull based setting, data may be periodically removed from the server. Data may also become obsolete, no longer serving client needs. In both cases, we consider such data to be volatile. To model such constraints on data usability, and support complex user needs we define profiles to specify which data sources are to be monitored and when. Using a novel abstraction of execution intervals we model complex profiles that access simultaneously several servers to gain from the used data. Given some budgetary constraints (e.g., bandwidth), the paper formalizes the problem of maximizing completeness.