SAVE: Energy-aware Virtual Data Center embedding and Traffic Engineering using SDN

2015 ◽  
Author(s):  
Yoonseon Han ◽  
Jian Li ◽  
Jae-Yoon Chung ◽  
Jae-Hyoung Yoo ◽  
James Won-Ki Hong
Keyword(s):  
Data Center ◽  
Traffic Engineering ◽  
Energy Aware ◽  
Virtual Data Center ◽  
Save Energy ◽  
Center Embedding ◽  
Virtual Data

A survey and taxonomy on virtual data center embedding

2019 ◽  
Vol 75 (10) ◽  
pp. 6324-6360 ◽  
Author(s):  
Ameni Hbaieb ◽  
Mahdi Khemakhem ◽  
Maher Ben Jemaa
Keyword(s):  
Data Center ◽  
Virtual Data Center ◽  
Center Embedding ◽  
Virtual Data

Virtual Data Center Embedding: A Survey

2015 ◽  
Vol 13 (5) ◽  
pp. 1661-1670 ◽  
Author(s):  
Eder Samir Correa ◽  
Luis Alejandro Fletscher ◽  
Juan Felipe Botero
Keyword(s):  
Data Center ◽  
Virtual Data Center ◽  
Center Embedding ◽  
Virtual Data

Energy-Aware Virtual Data Center Migration

2019 ◽  
Vol 23 (2) ◽  
pp. 209-218
Author(s):  
Xiao Ma ◽  
◽  
Zhongbao Zhang ◽  
Sen Su
Keyword(s):  
Energy Consumption ◽  
Success Rate ◽  
Data Center ◽  
Optimal Solution ◽  
Energy Aware ◽  
Physical Data ◽  
Virtual Links ◽  
Virtual Data Center ◽  
Changes Over Time ◽  
Virtual Data

Recently, the concept of virtual data center (VDC) has attracted significant attention from researchers. VDC is made up of virtual nodes and virtual links with guaranteed bandwidth. It offers elasticity and flexibility, which means VDC can adjust resources dynamically according to different requirements. Existing studies focus on how to design the optimal embedding algorithm to achieve high success rate for the virtual data center request. However, due to the resource of physical data center changes over time, the optimal solution may become sub-optimal. In this paper, we study the problem of virtual data center migration and propose an energy-aware virtual data center migration algorithm, called CA-VDCM-ACO. This novel algorithm leverages the migration technique to further reduce the energy consumption with the success rate for the physical data center guaranteed. The extensive experiments show that our algorithm is very effective to reduce the energy consumption.

Greenhead: Virtual Data Center Embedding across Distributed Infrastructures

2013 ◽  
Vol 1 (1) ◽  
pp. 36-49 ◽  
Author(s):  
Ahmed Amokrane ◽  
Mohamed Faten Zhani ◽  
Rami Langar ◽  
Raouf Boutaba ◽  
Guy Pujolle
Keyword(s):  
Data Center ◽  
Virtual Data Center ◽  
Center Embedding ◽  
Virtual Data ◽  
Distributed Infrastructures
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