A green energy-aware hybrid virtual network embedding approach

2015 ◽  
Vol 91 ◽  
pp. 712-737 ◽  
Author(s):  
Nizar Triki ◽  
Nadjia Kara ◽  
May El Barachi ◽  
Souad Hadjres
Keyword(s):  
Green Energy ◽  
Virtual Network ◽  
Virtual Network Embedding ◽  
Network Embedding ◽  
Energy Aware

Energy aware virtual network embedding with dynamic demands: Online and offline

2015 ◽  
Vol 93 ◽  
pp. 448-459 ◽  
Author(s):  
Zhongbao Zhang ◽  
Sen Su ◽  
Junchi Zhang ◽  
Kai Shuang ◽  
Peng Xu
Keyword(s):  
Virtual Network ◽  
Virtual Network Embedding ◽  
Network Embedding ◽  
Energy Aware

Optimal virtual network embedding: Energy aware formulation

2015 ◽  
Vol 91 ◽  
pp. 184-195 ◽  
Author(s):  
Márcio Melo ◽  
Susana Sargento ◽  
Ulrich Killat ◽  
Andreas Timm-Giel ◽  
Jorge Carapinha
Keyword(s):  
Virtual Network ◽  
Virtual Network Embedding ◽  
Network Embedding ◽  
Energy Aware ◽  
Embedding Energy

Energy-aware virtual network embedding through consolidation

2012 ◽  
Author(s):  
Sen Su ◽  
Zhongbao Zhang ◽  
Xiang Cheng ◽  
Yiwen Wang ◽  
Yan Luo ◽  
...  
Keyword(s):  
Virtual Network ◽  
Virtual Network Embedding ◽  
Network Embedding ◽  
Energy Aware

scholarly journals Clustering-based energy-aware virtual network embedding

2017 ◽  
Vol 13 (8) ◽  
pp. 155014771772671
Author(s):  
Xu Liu ◽  
Zhongbao Zhang ◽  
Junning Li ◽  
Sen Su
Keyword(s):  
Energy Consumption ◽  
Energy Cost ◽  
State Of The Art ◽  
Electricity Price ◽  
Virtual Network ◽  
Virtual Network Embedding ◽  
Virtual Networks ◽  
Network Embedding ◽  
Energy Aware ◽  
Physical Network

Virtual network embedding has received a lot of attention from researchers. In this problem, it needs to map a sequence of virtual networks onto the physical network. Generally, the virtual networks have topology, node, and link constraints. Prior studies mainly focus on designing a solution to maximize the revenue by accepting more virtual networks while ignoring the energy cost for the physical network. In this article, to bridge this gap, we design a heuristic energy-aware virtual network embedding algorithm called EA-VNE-C, to coordinate the dynamic electricity price and energy consumption to further optimize the energy cost. Extensive simulations demonstrate that this algorithm significantly reduces the energy cost by up to 14% over the state-of-the-art algorithm while maintaining similar revenue.

Congestion-Aware and Energy-Aware Virtual Network Embedding

2020 ◽  
Vol 28 (1) ◽  
pp. 210-223 ◽  
Author(s):  
Minh Pham ◽  
Doan B. Hoang ◽  
Zenon Chaczko
Keyword(s):  
Virtual Network ◽  
Virtual Network Embedding ◽  
Network Embedding ◽  
Energy Aware ◽  
Congestion Aware

scholarly journals Energy-Aware Virtual Network Embedding

2014 ◽  
Vol 22 (5) ◽  
pp. 1607-1620 ◽  
Author(s):  
Sen Su ◽  
Zhongbao Zhang ◽  
Alex X. Liu ◽  
Xiang Cheng ◽  
Yiwen Wang ◽  
...  
Keyword(s):  
Virtual Network ◽  
Virtual Network Embedding ◽  
Network Embedding ◽  
Energy Aware
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