TY - JOUR
T1 - Intelligent agent-based technique for virtual machine resource allocation for energy-efficient cloud data centre
AU - Okonor, Ogechukwu Mercy
AU - Adda, Mo
AU - Gegov, Alexander
PY - 2020/3/23
Y1 - 2020/3/23
N2 - In recent years, cloud computing technology has emerged as a promising solution to many medium and small scale business enterprise. It leverages cost, encourages collaboration, and it is so flexible to use. Despite its attractive features, it still has some challenging issues such as power consumption rate. Although significant efforts have been devoted to optimising power usage through scheduling and virtualisation, it though remains a challenging problem. This paper introduces a new model on how to reduce power consumption during live virtualisation and schedule based on intelligent mobile agent technology. The simulation results show that the proposed algorithm minimises power consumption used in the data centre at each stage by more than 30% compared to the current state-of-the-art techniques.
AB - In recent years, cloud computing technology has emerged as a promising solution to many medium and small scale business enterprise. It leverages cost, encourages collaboration, and it is so flexible to use. Despite its attractive features, it still has some challenging issues such as power consumption rate. Although significant efforts have been devoted to optimising power usage through scheduling and virtualisation, it though remains a challenging problem. This paper introduces a new model on how to reduce power consumption during live virtualisation and schedule based on intelligent mobile agent technology. The simulation results show that the proposed algorithm minimises power consumption used in the data centre at each stage by more than 30% compared to the current state-of-the-art techniques.
UR - https://www.wseas.org/wseas/cms.action?id=6924
U2 - 10.37394/23204.2020.19.5
DO - 10.37394/23204.2020.19.5
M3 - Article
SN - 1109-2742
VL - 19
SP - 37
EP - 46
JO - WSEAS Transactions on Communications
JF - WSEAS Transactions on Communications
M1 - 5
ER -