Using Process Mining to Formalise Service Level Agreement (SLA) Allocation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Service Level Agreement (SLA) assignment for online services is typically an unstandardized process, and is generally executed in an ad hoc manner to respond to customer service requirements. The steps taken by organizations to assign the SLA to a customer can also be influenced by the technical knowledge of a customer and their ability to explain the service requirement. Also, there is a need to analyze the organization’s SLA assignment for any underlying discrepancies in execution of such complex process. In this paper, we analyze our earlier proposed SLA assignment process using process mining techniques. We validated the suitability of our proposed approach for wider scenarios of customer requirements, including for the customers having no technical knowledge about their required services. We also presented both customer’s and system’s perspective of the SLA assignment process using process discovery techniques. Our proposed SLA assignment process verifies the relevance of the SLA assignment activities such as optimized customer interaction, score assignment, and subsequent customer service allocation.
Original languageEnglish
Title of host publication2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI)
PublisherIEEE
ISBN (Electronic)978-1-6654-1236-0
ISBN (Print)978-1-6654-2955-9
DOIs
Publication statusPublished online - 18 Nov 2021
Event2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI) - Atlanta, United States
Duration: 18 Oct 202121 Oct 2021

Conference

Conference2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI)
Country/TerritoryUnited States
CityAtlanta
Period18/10/2121/10/21

Funding

10.13039/100013360-Invest Northern Ireland

Keywords

  • Customer classification
  • Ontology
  • Process mining
  • Semantic interoperability
  • Service Level Agreement

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