Adaptive purchase option for multi-tenant data center

Generally, data center's applications have different Quality of Service (QoS) requirements. Meanwhile, data center's tenants may give different priorities to performance and cost. Therefore, it is unsuitable to treat applications/tenants equally. In this paper, we adopt Dynamic Pricing (DP) to charge for the usage of bandwidth and provide tenants with capability to automatically response to the dynamic price. Further, for applications with tight delay requirements, we propose Dynamic Pricing with Bandwidth Reservation (DPBR), which can reserve bandwidth for specific applications. With the modelling of user satisfaction of cost and performance, we show that tenants with DP and DPBR can get better trade-offs between performance and cost. Comparing with Flat Pricing (FP), which is a representative of today's on-demand purchase option, we demonstrate that DPBR is a better option for tenants since it can maximize their satisfactions. The validity is demonstrated through numerical studies and simulations.

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