Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
Somniloquy: augmenting network interfaces to reduce PC energy usage
NSDI'09 Proceedings of the 6th USENIX symposium on Networked systems design and implementation
Greening backbone networks: reducing energy consumption by shutting off cables in bundled links
Proceedings of the first ACM SIGCOMM workshop on Green networking
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Characterizing 10 Gbps network interface energy consumption
LCN '10 Proceedings of the 2010 IEEE 35th Conference on Local Computer Networks
Towards predictable datacenter networks
Proceedings of the ACM SIGCOMM 2011 conference
CloudNaaS: a cloud networking platform for enterprise applications
Proceedings of the 2nd ACM Symposium on Cloud Computing
Virtual network embedding through topology awareness and optimization
Computer Networks: The International Journal of Computer and Telecommunications Networking
Minimizing ISP network energy cost: formulation and solutions
IEEE/ACM Transactions on Networking (TON)
ClouDiA: a deployment advisor for public clouds
Proceedings of the VLDB Endowment
Embedding Virtual Infrastructure Based on Genetic Algorithm
PDCAT '12 Proceedings of the 2012 13th International Conference on Parallel and Distributed Computing, Applications and Technologies
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Network virtualization is being regarded as a promising technology to create an ecosystem for cloud computing applications. One critical issue in network virtualization technology is power-efficient virtual network embedding (PE-VNE), which deals with the physical resource allocation to virtual nodes and links of a virtual network while minimizing the energy consumption in the cloud data center. When the node and link constraints (including CPU, memory, network bandwidth, and network delay) are both taken into account, the VN embedding problem is NP-hard, even in the offline case. This paper aims to investigate the ability of the Ant-Colony-Optimization (ACO) technique in handling PE-VNE problem. We propose an ACO-based heuristic PE-VNE algorithm, called E-ACO. E-ACO minimizes the energy consumption by considering the embedding power consumption in the node mapping phase and by making an implicit coordination between the node and link mapping phases. Extensive simulations are conducted to evaluate the performance of the proposed algorithm and investigate different energy-aware link embedding algorithms on the ability of E-ACO.