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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=cloud+sla">
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  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=cloud+sla]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for cloud sla]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1012/A-Semantically-Rich-Framework-to-Automate-Cloud-Service-Level-Agreements"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/776/A-Question-and-Answering-System-for-Management-of-Cloud-Service-Level-Agreements"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/777/A-Deep-Learning-Approach-to-Understanding-Cloud-Service-Level-Agreements-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/732/Streamlining-Management-of-Multiple-Cloud-Services"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/724/Automatic-Extraction-of-Metrics-from-SLAs-for-Cloud-Service-Management"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/718/Parallelizing-Natural-Language-Techniques-for-Knowledge-Extraction-from-Cloud-Service-Level-Agreements"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1012/A-Semantically-Rich-Framework-to-Automate-Cloud-Service-Level-Agreements">
  <title><![CDATA[A Semantically Rich Framework to Automate Cloud Service Level Agreements]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1012/A-Semantically-Rich-Framework-to-Automate-Cloud-Service-Level-Agreements</link>
  <description><![CDATA[Consumers evaluate and choose cloud-based services based on the Service Level Agreements (SLA). These agreements
list the service terms and metrics to be agreed upon by the service providers and the customers. Current cloud SLAs are text
documents that require significant manual effort to parse and determine if providers meet the SLAs. Moreover, due to the lack of
standardization, providers differ in the way they define the terms and metrics, making it more difficult to compare different p...]]></description>
  <dc:date>2022-01-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/776/A-Question-and-Answering-System-for-Management-of-Cloud-Service-Level-Agreements">
  <title><![CDATA[A Question and Answering System for Management of Cloud Service Level Agreements]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/776/A-Question-and-Answering-System-for-Management-of-Cloud-Service-Level-Agreements</link>
  <description><![CDATA[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 automati...]]></description>
  <dc:date>2017-06-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/777/A-Deep-Learning-Approach-to-Understanding-Cloud-Service-Level-Agreements-">
  <title><![CDATA[A Deep Learning Approach to Understanding Cloud Service Level Agreements]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/777/A-Deep-Learning-Approach-to-Understanding-Cloud-Service-Level-Agreements-</link>
  <description><![CDATA[Educational organizations, like Universities and School Systems, are rapidly adopting Cloud based services to provide Information Technology (IT) infrastructure to their students. These include course offerings, class materials, ​data storage, emailing and collaboration software, virtual computing environment, etc. Moreover, cloud providers, like Amazon, are also providing free computing credits targeted to students. The legal documents associated with cloud based
services, such as Service...]]></description>
  <dc:date>2017-05-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/732/Streamlining-Management-of-Multiple-Cloud-Services">
  <title><![CDATA[Streamlining Management of Multiple Cloud Services]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/732/Streamlining-Management-of-Multiple-Cloud-Services</link>
  <description><![CDATA[With the increase in the number of cloud services and service providers, manual analysis of Service Level Agreements (SLA), comparison between different service offerings and conformance regulation has become a difficult task for customers. Cloud SLAs are policy documents describing the legal agreement between cloud providers and customers. SLA specifies the commitment of availability, performance of services, penalties associated with violations and procedure for customers to receive compens...]]></description>
  <dc:date>2016-06-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/724/Automatic-Extraction-of-Metrics-from-SLAs-for-Cloud-Service-Management">
  <title><![CDATA[Automatic Extraction of Metrics from SLAs for Cloud Service Management]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/724/Automatic-Extraction-of-Metrics-from-SLAs-for-Cloud-Service-Management</link>
  <description><![CDATA[To effectively manage cloud based services, organizations need to continuously monitor the performance metrics listed in the Cloud service contracts. However, these legal documents, like Service Level Agreements (SLA) or privacy policy documents, are currently managed as plain text files meant principally for human consumption. Additionally, providers often define their own performance metrics for their services. These factors hinder the automation of SLA management and require manual effort ...]]></description>
  <dc:date>2016-04-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/718/Parallelizing-Natural-Language-Techniques-for-Knowledge-Extraction-from-Cloud-Service-Level-Agreements">
  <title><![CDATA[Parallelizing Natural Language Techniques for Knowledge Extraction from Cloud Service Level Agreements]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/718/Parallelizing-Natural-Language-Techniques-for-Knowledge-Extraction-from-Cloud-Service-Level-Agreements</link>
  <description><![CDATA[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 of extracting, managing and monitoring cloud SLAs using natural language processing techniques and Semantic Web technologies. In this paper we describe our p...]]></description>
  <dc:date>2015-10-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/691/Automating-Cloud-Service-Level-Agreements-using-Semantic-Technologies">
  <title><![CDATA[Automating Cloud Service Level Agreements using Semantic Technologies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/691/Automating-Cloud-Service-Level-Agreements-using-Semantic-Technologies</link>
  <description><![CDATA[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 ont...]]></description>
  <dc:date>2015-03-12</dc:date>
 </item>
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