2017 IEEE 10th International Conference on Cloud Computing (CLOUD) (2017)
Honolulu, Hawaii, United States
June 25, 2017 to June 30, 2017
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CLOUD.2017.92
One of the key challenges faced by consumers is to efficiently manage and monitor the quality of cloud services. To manage service performance, consumers have to validate rules embedded in cloud legal contracts, such as Service Level Agreements (SLA) and Privacy Policies, that are available as text documents. Currently this analysis requires significant time and manual labor and is thus inefficient. We propose a cognitive assistant that can be used to manage cloud legal documents by automatically extracting knowledge (terms, rules, constraints) from them and reasoning over it to validate service performance. In this paper, we present this Question and Answering (Q&A) system that can be used to analyze and obtain information from the SLA documents. We have created a knowledgebase of Cloud SLAs from various providers which forms the underlying repository of our Q&A system. We utilized techniques from natural language processing and semantic web (RDF, SPARQL and Fuseki server) to build our framework. We also present sample queries on how a consumer can compute metrics such as service credit.
Cloud computing, Ontologies, Law, Measurement, Natural languages, Google
S. Mittal, A. Gupta, K. P. Joshi, C. Pearce and A. Joshi, "A Question and Answering System for Management of Cloud Service Level Agreements," 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), Honolulu, Hawaii, United States, 2017, pp. 684-687.