Currently, the elastic interconnection has realized the high-rate data transmission among data centers (DCs). Thus, the elastic data center network (EDCN) emerged. In EDCNs, it is essential to achieve the virtual network (VN) embedding, which includes two main components: VM (virtual machine) mapping and VL (virtual link) mapping. In VM mapping, we allocate appropriate servers to hold VMs. While for VL mapping, an optimal substrate path is determined for each virtual lightpath. For the VN embedding in EDCNs, the power efficiency is a significant concern, and some solutions were proposed through sleeping light-duty servers. However, the increasing communication traffic between VMs leads to a serious energy dissipation problem, since it also consumes a great amount of energy on switches even utilizing the energy-efficient optical transmission technique. In this paper, considering load balancing and power-efficient VN embedding, we formulate the problem and design a novel heuristic for EDCNs, with the objective to achieve the power savings of servers and switches. In our solution, VMs are mapped into a single DC or multiple DCs with the short distance between each other, and the servers in the same cluster or adjacent clusters are preferred to hold VMs. Such that, a large amount of servers and switches will become vacant and can go into sleep mode. Simulation results demonstrate that our method performs well in terms of power savings and load balancing. Compared with benchmarks, the improvement ratio of power efficiency is 5%–13%.
本文将考虑了负载均衡的虚拟网络嵌入能效问题抽象成数学模型, 并提出了一种综合考虑服务器和交换机能耗的绿色虚拟网络嵌入算法, 力求将虚拟机映射到彼此物理距离更近的服务器中, 并根据链路频谱信息和交换机当前能耗设置链路代价, 以指导虚拟链路进行节能性的映射。通过大量仿真, 本文证明了所提出算法在节能和负载均衡方面的优势。
This is a preview of subscription content, access via your institution.
Buy single article
Instant access to the full article PDF.
Tax calculation will be finalised during checkout.
Yu C Q, Hou W G, Wu Y, et al. Adaptive multilevel modulation for grooming in elastic optical networks. Photon Netw Commun, 2015, doi: 10.1007/s11107-015-0543-x
Gong L, Zhu Z Q. Virtual optical network embedding (VONE) over elastic optical networks. IEEE/OSA J Lightwave Technol, 2014, 32: 450–460
Cisco. Cisco global cloud index: forecast and methodology. Cisco White Paper, 2011. 2011–2016
Kachris C, Kanonakis K, Tomkos I. Optical interconnection networks in data centers: recent trends and future challenges. IEEE Commun Mag, 2013, 51: 39–45
Benson T, Akella A, Maltz D. Network traffic characteristics of data centers in the wild. In: Proceedings of the 10th ACM SIGCOMM Conference on Internet Measurement, New Delhi, 2010. 267–280
Taubenblatt M. Optical interconnects for high-performance computing. IEEE/OSA J Lightwave Technol, 2012, 30: 448–457
Pepeljugoski P, Kash J, Doany F, et al. Low power and high density optical interconnects for future supercomputers. In: Proceedings of 2010 Conference on Optical Fiber Communication (OFC), collocated National Fiber Optic Engineers Conference (OFC/NFOEC), San Diego, 2010. 1–3
Sun G, Anand V, Liao D, et al. Power-efficient provisioning for online virtual network requests in cloud-based data centers. IEEE Syst J, 2015, 9: 427–441
Greenberg A, Hamilton J, Maltz D, et al. The cost of a cloud: research problems in data center networks. In: Proceedings of SIGCOMM, Barcelona, 2009. 68–73
Aleksic S. Analysis of power consumption in future high-capacity network nodes. IEEE/OSA J Opt Commun Netw, 2009, 1: 245–258
Fiorani M, Casoni M, Aleksic S. Large data center interconnects employing hybrid optical switching. In: Proceedings of 18th European Conference on Network and Optical Communications & 8th Conference on Optical Cabling and Infrastructure, Graz, 2013. 61–68
Guo L, Cao J N, Yu H F, et al. A new shared-risk link groups (SRLG)-disjoint path provisioning with shared protection in WDM optical networks. J Netw Comput Appl, 2007, 30: 650–661
About this article
Cite this article
Hou, W., Yu, C., Guo, L. et al. Virtual network embedding for power savings of servers and switches in elastic data center networks. Sci. China Inf. Sci. 59, 122307 (2016). https://doi.org/10.1007/s11432-016-5590-0
- elastic data center network, green virtual network embedding, integrated optimization, load balancing, power efficiency