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Automatic consistency assessment for query results in dynamic environments
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Foundations of Software Engineering archive
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering table of contents
Dubrovnik, Croatia
SESSION: Service-oriented and mobile computing table of contents
Pages: 245 - 254  
Year of Publication: 2007
ISBN:978-1-59593-811-4
Authors
Jamie Payton  University of North Carolina Charlotte, Charlotte, NC
Christine Julien  University of Texas at Austin, Austin, TX
Gruia-Catalin Roman  Washington University in Saint Louis, Saint Louis, MO
Sponsors
ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering
Publisher
ACM  New York, NY, USA
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ABSTRACT

Queries are convenient abstractions for the discovery of information and services, as they offer content-based information access. In distributed settings, query semantics are well-defined, e.g., they often satisfy ACID transactional properties. In a dynamic network setting, however, achieving transactional semantics becomes complex due to the openness and unpredictability. In this paper, we propose a query processing model for mobile ad hoc and sensor networks suitable for expressing a wide range of query semantics; the semantics differ in the degree of consistency with which results reflect the state of the environment during execution. We introduce several distinct notions of consistency and formalize them. A practical contribution of this paper is a protocol for query processing that automatically assesses and adaptively provides an achievable degree of consistency given the state of the operational environment throughout its execution. The protocol attaches an assessment of the achieved guarantee to returned query results, allowing precise reasoning about a query with a range of possible semantics.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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A. Vargas. OMNeT++. http://www.omnetpp.org
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Collaborative Colleagues:
Jamie Payton: colleagues
Christine Julien: colleagues
Gruia-Catalin Roman: colleagues