• Laser & Optoelectronics Progress
  • Vol. 52, Issue 5, 50604 (2015)
Zhang Yinfa*, Li Ming, Ren Shuai, Wang Jingyu, and Wang Kun
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  • [in Chinese]
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    DOI: 10.3788/lop52.050604 Cite this Article Set citation alerts
    Zhang Yinfa, Li Ming, Ren Shuai, Wang Jingyu, Wang Kun. Virtual Infrastructure Planning in Optical Networks for Cloud Computing[J]. Laser & Optoelectronics Progress, 2015, 52(5): 50604 Copy Citation Text show less

    Abstract

    In the era of big data and cloud computing, the virtual infrastructure planning converged optical network resources and data center resources is the best way to solve the challenges facing optical networks. Two integer linear program models for virtual infrastructure planning are established with and without wavelength conversion capability. With dynamic service request, two objective functions of the two models: minimum joint power consumption and minimum network resource utilization rate, are simulated and compared with the power consumption and the blocking rate performance. The results show that, under light load conditions, the minimum joint power consumption has lower power consumption; under heavy loads, the minimum network resource utilization rate has lower power consumption; the minimum network resource utilization rate always has a lower blocking rate.
    Zhang Yinfa, Li Ming, Ren Shuai, Wang Jingyu, Wang Kun. Virtual Infrastructure Planning in Optical Networks for Cloud Computing[J]. Laser & Optoelectronics Progress, 2015, 52(5): 50604
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