Paper Info
Title
DataABC: A fast ABC based energy-efficient live VM consolidation policy with data-intensive energy evaluation model.
Abstract
Live Virtual Machine (VM) consolidation is an effective method of improving energy-efficiency level in green data centers. Currently, to evaluate energy consumption in green data centers, energy-efficiency evaluation model with CPU utilization rate has been proposed. However, it is not suitable for data-intensive computing due to great energy consumption by GPU-intensive processing. In this paper, we have proposed a new energy evaluation model with CPU and GPU utilization rates. There are two kinds of policies in live VM consolidation: one for VM selection and the other for VM allocation. Some researchers have proposed their solutions based on VM selection policy or VM allocation policy respectively. However, it will be a better energy-efficiency VM consolidation policy if these two polices are integrated together. Based on these two policies, a fast Artificial Bee Colony (ABC) based energy-efficiency live VM consolidation policy with data-intensive energy model, named as DataABC, is proposed. DataABC adopts the idea of Artificial Bee Colony algorithm to get a fast and global optimized decision of VM consolidation. Compared with two state-of-art policies of PS-ABC and PS-ES, the total energy consumption of DataABC evidently drop by 9.72% and 5.84% respectively. As a result, based on the ESV metric, the DataABC approach has proved that (a) the energy-efficiency evaluation model with data-intensive computing is valid and that (b) DataABC can save energy with a good Quality of Service (QoS) in green data centers.
Year
DOI
Venue
2017
10.1016/j.future.2016.05.013
Future Generation Computer Systems
Keywords
Field
DocType
Artificial bee colony algorithm,Energy-efficiency,Green data center,Virtual machine consolidation,Virtual machine migration
Artificial bee colony algorithm,Virtual machine,Effective method,CPU time,Computer science,Efficient energy use,Quality of service,Real-time computing,Consolidation (soil),Energy consumption,Distributed computing
Journal
Volume
ISSN
Citations 
74
0167-739X
11
PageRank 
References 
Authors
0.54
9
4
Name
Order
Citations
PageRank
Jianhua Jiang1142.65
Yunzhao Feng2110.54
Jia Zhao3404.84
Keqin Li42778242.13