Parallelizing natural language techniques for knowledge extraction from cloud service level agreements

Big Data, 2015.

Cited by: 12|Bibtex|Views9|
EI
Other Links: academic.microsoft.com|dblp.uni-trier.de|dl.acm.org

Abstract:

To efficiently utilize their cloud based services, consumers have to continuously monitor and manage the Service Level Agreements (SLA) that define the service performance measures. Currently this is still a time and labor intensive process since the SLAs are primarily stored as text documents. We have significantly automated the process ...More

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