Research output per year
Research output per year
Kenneth Kwame Azumah, Paulo Romero Martins Maciel, Lene Tolstrup Sorensen, Sokol Kosta
Research output: Contribution to journal › Journal article › Research › peer-review
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 language | English |
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Journal | IEEE Transactions on Cloud Computing |
Volume | 11 |
Issue number | 2 |
Pages (from-to) | 1999-2010 |
Number of pages | 12 |
DOIs | |
Publication status | Published - 1 Apr 2023 |
Research output: Contribution to journal › Journal article › Research › peer-review
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review