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ICSE
2008
IEEE-ACM

Exploiting connector knowledge to efficiently disseminate highly voluminous data sets

10 years 10 months ago
Exploiting connector knowledge to efficiently disseminate highly voluminous data sets
Ever-growing amounts of data that must be distributed from data providers to consumers across the world necessitate a greater understanding of the software architectural implications of choosing data movement technologies. Currently, this understanding is mired in the minds of software architects who have "been there before," and who rely on past intuition and choices, failing to properly document their rationale and context. In this paper we describe a software architecture-based decision making framework called DISCO for selecting data movement technologies, or software connectors. DISCO effectively captures (traditionally undocumented) insight, observation and ultimately architectural knowledge about the connectors, demonstrating the effectiveness of using such information to accurately encode the connector selection decision making process. Categories and Subject Descriptors D.2 Software Engineering, D.2.11 Domain Specific Architectures General Terms Performance, Design....
Chris Mattmann, David Woollard, Nenad Medvidovic
Added 09 Dec 2009
Updated 09 Dec 2009
Type Conference
Year 2008
Where ICSE
Authors Chris Mattmann, David Woollard, Nenad Medvidovic
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