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

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Abstrakt

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 paper 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.

OriginalsprogEngelsk
TidsskriftIEEE Transactions on Cloud Computing
Sider (fra-til)1
Antal sider1
DOI
StatusE-pub ahead of print - 24 maj 2022

Bibliografisk note

Publisher Copyright:
IEEE

Fingeraftryk

Dyk ned i forskningsemnerne om 'Modeling and Simulating a Process Mining-Influenced Load-Balancer for the Hybrid Cloud'. Sammen danner de et unikt fingeraftryk.

Citationsformater