Adaptive Bandwidth Allocation for Virtual Network Embedding in Optical Data Center Networks
Wavelength division multiplexed optical networks have become an attractive candidate to meet the ever growing traffic demands in cloud data centers due to the features of large capacity and dynamic reconfiguration capability. While the bandwidth does not affect the makespan of compute intensive and content delivery network applications, it has an impact on data intensive applications that therefore require guaranteed bandwidth beside computing and storage resources for predictable performance. Motivated by this, we consider the problem of dynamically adjusting bandwidth so as to increase the acceptance of virtual networks embedded in optical data centers. We first develop an optimization programming formulation for the problem. We then develop a heuristic algorithm that efficiently embeds and adaptively allocates bandwidth to virtual networks such that the applications complete and release resources for future requests. We evaluate our algorithm through extensive simulations. The results show that our algorithm outperforms baseline algorithms by reducing rejections by up to 25%
2016 IEEE 41st Conference on Local Computer Networks (LCN)