Lazy Scheduling of Processing and Transmission Tasks in Collaborative Systems

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dc.contributor.authorJunuzovic, Sasa
dc.contributor.authorDewan, Prasun
dc.date.accessioned2023-06-08T11:44:31Z
dc.date.available2023-06-08T11:44:31Z
dc.date.issued2009
dc.description.abstractA collaborative system must perform both processing and transmission tasks. We present a policy for scheduling these tasks on a single core that is inspired by studies of human perception and the real-time systems field. It lazily delays the execution of the processing task if the delay cannot be noticed by humans. We use simulations and formal analysis to compare this policy with previous scheduling policies. We show that the policy trades-off an unnoticeable degradation in performance of some users for a much larger noticeable improvement in performance of others.en
dc.identifier.doi10.1145/1531674.1531698
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4867
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 2009 ACM International Conference on Supporting Group Work
dc.subjectanalytical model
dc.subjectcollaboration architecture
dc.subjectlocal and remote response times
dc.subjectsimulations
dc.subjectscheduling policy
dc.titleLazy Scheduling of Processing and Transmission Tasks in Collaborative Systemsen
gi.citation.publisherPlaceNew York, NY, USA
gi.citation.startPage159–168
gi.conference.locationSanibel Island, Florida, USA

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