Title :
Automating Cloud Service Level Agreements Using Semantic Technologies
Author :
Joshi, Karuna Pande ; Pearce, Claudia
Author_Institution :
CSEE Dept., Univ. of Maryland Baltimore County, Baltimore, MD, USA
Abstract :
Cloud related legal documents, like terms of service or customer agreement are usually managed as plain text files. Hence extensive manual effort is required to monitor the cloud service performance by cross referencing the metrics and measures agreed upon in these documents. We have significantly automated the process of managing and monitoring cloud Service Level Agreements (SLA) using semantic web technologies like OWL, RDF and SPARQL. In this paper, we describe in detail the cloud SLA ontology and the prototype that we have developed to illustrate how the SLA measures can be automatically extracted from legal Terms of Service that are available on cloud provider websites.
Keywords :
Web sites; cloud computing; contracts; ontologies (artificial intelligence); semantic Web; OWL; RDF; SLA ontology; SPARQL; cloud provider Web sites; cloud related legal documents; cloud service level agreement automation; cloud service performance; cross referencing; semantic Web technologies; Availability; Measurement; Monitoring; Ontologies; Organizations; Semantics; Web services; Cloud computing; cloud service level agreements; semantic cloud services; semantic web;
Conference_Titel :
Cloud Engineering (IC2E), 2015 IEEE International Conference on
Conference_Location :
Tempe, AZ
DOI :
10.1109/IC2E.2015.63