Server Consolidation Based on Culture Multiple-Ant-Colony Algorithm in Cloud Computing

Sensors

Xuemei Sun¹  Chunmiao Yuan¹ 

[1] School of Computer Science and Technology, Tianjin Polytechnic University, Tianjin 300387, China;

关键词: cloud computing;    data center;    energy consumption;    culture multiple-ant-colony algorithm;    server consolidation;   

DOI  :  10.3390/s19122724

来源: DOAJ

【 摘 要 】

High-energy consumption in data centers has become a critical issue. The dynamic server consolidation has significant effects on saving energy of a data center. An effective way to consolidate virtual machines is to migrate virtual machines in real time so that some light load physical machines can be turned off or switched to low-power mode. The present challenge is to reduce the energy consumption of cloud data centers. In this paper, for the first time, a server consolidation algorithm based on the culture multiple-ant-colony algorithm was proposed for dynamic execution of virtual machine migration, thus reducing the energy consumption of cloud data centers. The server consolidation algorithm based on the culture multiple-ant-colony algorithm (CMACA) finds an approximate optimal solution through a specific target function. The simulation results show that the proposed algorithm not only reduces the energy consumption but also reduces the number of virtual machine migration.

【 授权许可】

Unknown