@inproceedings{7d36308126e046b19c3e7b076cd1c2f4,
title = "A modified max-min ant colony optimization algorithm for virtual machines replacement in cloud datacenter",
abstract = "With the increasing scale of cloud datacenters, the volumes of traffic flows inside a single datacenter become larger. An effective virtual machine (VM) replacement among physical machines (PMs) can improve resource utilization rate and reduce overall network cost in cloud datacenters. In this paper, we propose a Modified Max-Min Ant Colony Optimization (M3ACO) algorithm which can be used to solve the VMs replacement problem. Furthermore, we apply the M3ACO algorithm into a new framework based on Software Defined Network (SDN), which provides an integrated solution for resource optimization problem in cloud datacenters.",
keywords = "Ant Colony Optimization (ACO), Software Defined Network (SDN), VMs replacement, cloud datacenter, network cost",
author = "Tiantian Ren and Xinli Huang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014 ; Conference date: 05-12-2014 Through 07-12-2014",
year = "2015",
month = jan,
day = "20",
doi = "10.1109/PCCC.2014.7017047",
language = "英语",
series = "2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014",
address = "美国",
}