DocumentCode :
2230304
Title :
Hoarding Context Information with Context Clusters
Author :
Anandarajah, Myilone ; Robinson, Ricky ; Indulska, Jadwiga
Author_Institution :
Sch. of ITEE, Queensland Univ., Qld.
fYear :
2007
fDate :
19-23 March 2007
Firstpage :
33
Lastpage :
38
Abstract :
The components of a context-aware system can often become disconnected because of the dynamic environments within which they are deployed. Hoarding context information on the client application side can improve the probability that the application will continue to behave correctly in the event of disconnection. While traditional approaches to caching and hoarding can be used to combat this problem, we contend that a cache management solution that uses the extra information captured by context modelling techniques will provide more robust operation. Specifically, we focus on the metadata provided by the context modelling language (CML), which may enable smarter decisions to be made by a cache management system for context information
Keywords :
cache storage; meta data; cache management; context clusters; context modelling language; context-aware system; hoarding context information; metadata; Australia; Bandwidth; Conference management; Context modeling; Delay; History; Mobile computing; Network servers; Prefetching; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Communications Workshops, 2007. PerCom Workshops '07. Fifth Annual IEEE International Conference on
Conference_Location :
White Plains, NY
Print_ISBN :
0-7695-2788-4
Type :
conf
DOI :
10.1109/PERCOMW.2007.54
Filename :
4144789
Link To Document :
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