TY - GEN
T1 - A GA-based resource management algorithm for smart living applications requiring intensive computing power
AU - Huang, Yu-Lun
AU - Li, Zong Xian
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/25
Y1 - 2017/7/25
N2 - When running smart living applications requiring intensive computing power in a cloud, a proper resource management algorithm is required to guarantee the performance of the applications. The paper presents a Genetic Algorithm (GA) based resource management algorithm, GASdv2, for allocating cloud-based virtual machines on physical machines. GASdv2 analyzes the utilization of hardware resources (CPU, memory, etc.) and generates an optimized distribution strategy to obtain better performance of the cloud running applications that requires intensive computing power and/or memory capacity.
AB - When running smart living applications requiring intensive computing power in a cloud, a proper resource management algorithm is required to guarantee the performance of the applications. The paper presents a Genetic Algorithm (GA) based resource management algorithm, GASdv2, for allocating cloud-based virtual machines on physical machines. GASdv2 analyzes the utilization of hardware resources (CPU, memory, etc.) and generates an optimized distribution strategy to obtain better performance of the cloud running applications that requires intensive computing power and/or memory capacity.
UR - http://www.scopus.com/inward/record.url?scp=85028514569&partnerID=8YFLogxK
U2 - 10.1109/ICCE-China.2017.7991094
DO - 10.1109/ICCE-China.2017.7991094
M3 - Conference contribution
AN - SCOPUS:85028514569
T3 - 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
SP - 259
EP - 260
BT - 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Y2 - 12 June 2017 through 14 June 2017
ER -