Reasoning about naming systems
ACM Transactions on Programming Languages and Systems (TOPLAS)
An architecture for a secure service discovery service
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
The design and implementation of an intentional naming system
Proceedings of the seventeenth ACM symposium on Operating systems principles
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MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Adaptive precision setting for cached approximate values
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Building efficient wireless sensor networks with low-level naming
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
INS/Twine: A Scalable Peer-to-Peer Architecture for Intentional Resource Discovery
Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
Uncovering the to-dos hidden in your in-box
IBM Systems Journal
Distributed document contexts in cooperation systems
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
Designing the context matching engine for evaluating and selecting context information sources
MRC'05 Proceedings of the Second international conference on Modeling and Retrieval of Context
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Much context data comes from mobile, transient, and unreliable sources. Such resources are best specified by descriptive names identifying what data is needed rather than which source is to provide it. The design of descriptive names has important consequences, but until now little attention has been focused on this problem. We propose a descriptive naming system for providers of context data that provides more flexibility and power than previous naming systems by classifying data providers into “provider kinds” that are organized in an evolving hierarchy of subkinds and superkinds. New provider kinds can be inserted in the hierarchy not only as subkinds, but also as superkinds, of existing provider kinds. Our names can specify arbitrary boolean combinations of arbitrary tests on data-source attributes, yielding expressive power not found in naming schemes based on attribute matching.