Abstract
as a business strategy for adopting the hybrid cloud. Chief among the
adoption objectives are achieving privacy and control in a private cloud
whilst enjoying the on-demand scalability of the public cloud. The complexity introduced by the combination of the public and private clouds, however, exacerbates poor visibility in cloud monitoring especially with
compliance to given business constraints. Load balancing as a technique
for evenly distributing workloads can be leveraged together with pro-
cessing mining to help ease the monitoring challenge. In this paper, we
propose a load balancing approach to distribute workloads in order to
minimise violations to specified business constraints. The scenario of a
hospital consultation process is employed as a use case in monitoring and
controlling a load balancer in OpenStack. The results show a successful
application of process mining monitoring in load balancing.
| Original language | English |
|---|---|
| Title of host publication | The 12th International Conference on Internet and Distributed Computing Systems |
| Number of pages | 10 |
| Volume | 11874 |
| Publisher | Springer |
| Publication date | 10 Nov 2019 |
| Pages | 148-157 |
| ISBN (Print) | 978-3-030-34914-1, 978-3-030-34913-4 |
| ISBN (Electronic) | 978-3-030-34914-1 |
| DOIs | |
| Publication status | Published - 10 Nov 2019 |
| Event | The 12th International Conference on Internet and Distributed Computing Systems - Naples, Italy Duration: 10 Oct 2019 → 12 Oct 2019 Conference number: 12 https://idcs2019.uniparthenope.it/ |
Conference
| Conference | The 12th International Conference on Internet and Distributed Computing Systems |
|---|---|
| Number | 12 |
| Country | Italy |
| City | Naples |
| Period | 10/10/2019 → 12/10/2019 |
| Internet address |
| Series | Lecture Notes in Computer Science |
|---|---|
| ISSN | 0302-9743 |
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Cite this
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Load balancing in Hybrid Clouds through Process Mining Monitoring. / Azumah, Kenneth Kwame; Kosta, Sokol; Sørensen, Lene Tolstrup.
The 12th International Conference on Internet and Distributed Computing Systems . Vol. 11874 Springer, 2019. p. 148-157 (Lecture Notes in Computer Science).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
TY - GEN
T1 - Load balancing in Hybrid Clouds through Process Mining Monitoring
AU - Azumah, Kenneth Kwame
AU - Kosta, Sokol
AU - Sørensen, Lene Tolstrup
PY - 2019/11/10
Y1 - 2019/11/10
N2 - Due to the benefits of hybrid cloud computing, it is employedas a business strategy for adopting the hybrid cloud. Chief among theadoption objectives are achieving privacy and control in a private cloudwhilst enjoying the on-demand scalability of the public cloud. The complexity introduced by the combination of the public and private clouds, however, exacerbates poor visibility in cloud monitoring especially withcompliance to given business constraints. Load balancing as a techniquefor evenly distributing workloads can be leveraged together with pro-cessing mining to help ease the monitoring challenge. In this paper, wepropose a load balancing approach to distribute workloads in order tominimise violations to specified business constraints. The scenario of ahospital consultation process is employed as a use case in monitoring andcontrolling a load balancer in OpenStack. The results show a successfulapplication of process mining monitoring in load balancing.
AB - Due to the benefits of hybrid cloud computing, it is employedas a business strategy for adopting the hybrid cloud. Chief among theadoption objectives are achieving privacy and control in a private cloudwhilst enjoying the on-demand scalability of the public cloud. The complexity introduced by the combination of the public and private clouds, however, exacerbates poor visibility in cloud monitoring especially withcompliance to given business constraints. Load balancing as a techniquefor evenly distributing workloads can be leveraged together with pro-cessing mining to help ease the monitoring challenge. In this paper, wepropose a load balancing approach to distribute workloads in order tominimise violations to specified business constraints. The scenario of ahospital consultation process is employed as a use case in monitoring andcontrolling a load balancer in OpenStack. The results show a successfulapplication of process mining monitoring in load balancing.
U2 - 10.1007/978-3-030-34914-1_15
DO - 10.1007/978-3-030-34914-1_15
M3 - Article in proceeding
SN - 978-3-030-34914-1
SN - 978-3-030-34913-4
VL - 11874
T3 - Lecture Notes in Computer Science
SP - 148
EP - 157
BT - The 12th International Conference on Internet and Distributed Computing Systems
PB - Springer
ER -