DocumentCode :
1345724
Title :
A hybrid representation of vague collections for distributed object management systems
Author :
Haase, Oliver ; Henrich, Andreas
Author_Institution :
NEC Eur. Ltd., Heidelberg, Germany
Volume :
12
Issue :
3
fYear :
2000
Firstpage :
448
Lastpage :
467
Abstract :
An important characteristic of distributed object management systems is that due to network or machine failure, the environment may become partitioned into subenvironments that cannot communicate with each other. In some application scenarios, it is important that the subenvironments remain operable even in this case. In particular, queries should be processed in an appropriate way. To this end, the final and all intermediate results of a query in a distributed object management system must be regarded as potentially vague. We propose a hybrid representation for vague sets and vague multisets designed for this application context. The representation consists of an enumerating part, which contains the elements we could access during query processing, and a descriptive part, which describes the relevant elements we could not access. We introduce propagation rules which can be used to minimize the vagueness of a query result represented in this hybrid way. The main advantage of our approach is that the descriptive part of the representation can be used to improve the enumerating part during query processing
Keywords :
distributed databases; distributed object management; fuzzy set theory; query processing; application context; application scenarios; descriptive part; distributed object management systems; enumerating part; hybrid representation; intermediate results; machine failure; propagation rules; query processing; relevant elements; subenvironments; vague collections; vague multisets; vague sets; Database languages; Decision support systems; Distributed databases; Environmental management; ISO standards; Programming; Query processing; Software standards; Standards development; Workstations;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/69.846295
Filename :
846295
Link To Document :
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