Project Summary
Data-intensive systems and applications transfer large volumes of data and meta- data to highly distributed users separated by geographic distance and organiza- tional boundaries. A dominating factor in these large volume data transfers is the selection of the appropriate software connector that satisfies user constraints on the required data distribution scenarios.
We present a software architecture- based systematic framework for selecting software connectors based on eight key dimensions of data distribution that we use to represent the data distribution scenarios. Our framework, dubbed DISCO, accurately, efficiently, and reliably captures a guru’s domain knowledge and allows a user to automatically leverage that knowledge to drive connector selection.
In a Nutshell, Data Intensive Software Connectors (D...
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took an estimated 6 years of effort (COCOMO model)
starting with its first commit in August, 2013
ending with its most recent commit over 11 years ago
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These details are provided for information only. No information here is legal advice and should not be used as such.
This Project has No vulnerabilities Reported Against it
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