TY - GEN
T1 - Genetic-Based Configurable Cloud Resource Allocation in QoS-Aware Business Process Development
AU - Hachicha, Emna
AU - Yongsiriwit, Karn
AU - Sellami, Mohamed
AU - Gaaloul, Walid
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/7
Y1 - 2017/9/7
N2 - Organizations are nowadays more and more adopting Cloud computing to execute their multi-tenant business processes in order to quickly adapt to changes of requirements at lower costs. In such environment, using configurable process models allows for various tenants to share a reference process which can be customized depending on their needs. However, there is a lack of support for cloud-specific resource configuration with considering quality of service requirements. In this paper, we cope with this gap by proposing a genetic-based approach that enables to optimally extract cloud resource configuration allocation w.r.t Cloud resource features (i.e., elasticity and shareability), and process non functional properties (i.e. QoS properties). Keywords. Business process management; configurable resource allocation; Cloud computing; QoS properties.
AB - Organizations are nowadays more and more adopting Cloud computing to execute their multi-tenant business processes in order to quickly adapt to changes of requirements at lower costs. In such environment, using configurable process models allows for various tenants to share a reference process which can be customized depending on their needs. However, there is a lack of support for cloud-specific resource configuration with considering quality of service requirements. In this paper, we cope with this gap by proposing a genetic-based approach that enables to optimally extract cloud resource configuration allocation w.r.t Cloud resource features (i.e., elasticity and shareability), and process non functional properties (i.e. QoS properties). Keywords. Business process management; configurable resource allocation; Cloud computing; QoS properties.
U2 - 10.1109/ICWS.2017.101
DO - 10.1109/ICWS.2017.101
M3 - Conference contribution
AN - SCOPUS:85032367912
T3 - Proceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017
SP - 836
EP - 839
BT - Proceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017
A2 - Chen, Shiping
A2 - Altintas, Ilkay
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th IEEE International Conference on Web Services, ICWS 2017
Y2 - 25 June 2017 through 30 June 2017
ER -