A Semantically Rich Framework to Automate Cloud Service Level Agreements

Consumers evaluate and choose cloud-based services based on the Service Level Agreements (SLA). These agreements list service terms metrics to be agreed upon by providers customers. Current cloud SLAs are text documents that require significant manual effort parse determine if meet SLAs. Moreover, due lack of standardization, differ in way they define metrics, making it more difficult compare different provider We have developed a novel framework significantly automate process extracting knowledge embedded representing semantically rich graph helping user make calculated decision choosing provider. Our captures key terms, measures, deontic rules, form obligations permissions present In this paper, we discuss our framework, technique, challenges automating agreement. also describe results their validation against well-established standards.