Modeling and Simulating a Process Mining-Influenced Load-Balancer for the Hybrid Cloud

Kenneth Kwame Azumah, Paulo Romero Martins Maciel, Lene Tolstrup Sorensen, Sokol Kosta

Research output: Contribution to journalJournal articleResearchpeer-review

6 Citations (Scopus)

Abstract

The hybrid cloud inherits the best aspects of both the public and private clouds. One such benefit is maintaining control of data processing in a private cloud whilst having nearly elastic resource availability in the public cloud. However, the public and private cloud combination introduces complexities such as incompatible security and control mechanisms, among others. The result is a reduced consistency of data processing and control policies in the different cloud deployment models. Cloud load-balancing is one control mechanism for routing applications to appropriate processing servers in compliance with the policies of the adopting organization. This article presents a process-mining influenced load-balancer for routing applications and data according to dynamically defined business rules. We use a high-level Colored Petri Net (CPN) to derive a model for the process mining-influenced load-balancer and validate the model employing live data from a selected hospital.

Original languageEnglish
JournalIEEE Transactions on Cloud Computing
Volume11
Issue number2
Pages (from-to)1999-2010
Number of pages12
DOIs
Publication statusPublished - 1 Apr 2023

Bibliographical note

Publisher Copyright:
IEEE

Keywords

  • Business
  • Cloud computing
  • Colored Petri Net
  • Hybrid Cloud
  • Load modeling
  • Monitoring
  • Scheduling
  • Sensitivity
  • Task analysis
  • event monitoring
  • load balancing
  • process mining
  • Hybrid cloud

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