This paper studies the energy efficiency of composable data center (DC) infrastructures over network topologies. Using a mixed integer linear programming (MILP) model, we compare the performance of disaggregation at rack-scale and pod-scale over selected electrical, optical and hybrid network topologies relative to a traditional DC. Relative to a pod-scale DC, the results show that physical disaggregation at rack-scale is sufficient for optimal efficiency when the optical network topology is adopted, and resource components are allocated in a suitable manner. The optical network topology also enables optimal energy efficiency in composable DCs. The paper also studies logical disaggregation of traditional DC servers over an optical network topology. Relative to physical disaggregation at rack-scale, logical disaggregation of server resources within each rack enables marginal fall in the total DC power consumption (TDPC) due to improved resource demands placement. Hence, an adaptable composable infrastructure that can support both in memory (access) latency sensitive and insensitive workloads is enabled. We also conduct a study of the adoption of micro-service architecture in both traditional and composable DCs. Our results show that increasing the modularity of workloads improves the energy efficiency in traditional DCs, but disproportionate utilization of DC resources persists. A combination of disaggregation and micro-services achieved up to 23% reduction in the TDPC of the traditional DC by enabling optimal resources utilization and energy efficiencies. Finally, we propose a heuristic for energy efficient placement of workloads in composable DCs which replicates the trends produced by the MILP model formulated in this paper.

中文翻译：

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在可组合数据中心网络中高效节能地分配工作负载

本文研究了可组合数据中心（DC）基础结构在网络拓扑上的能效。使用混合整数线性规划（MILP）模型，相对于传统的DC，我们在选定的电气，光学和混合网络拓扑上比较了机架规模和Pod规模的分解性能。相对于吊舱规模的DC，结果表明，采用光网络拓扑结构时，机架规模的物理分解足以实现最佳效率，并且以适当的方式分配资源组件。光网络拓扑还可以在可组合DC中实现最佳的能源效率。本文还研究了传统DC服务器在光网络拓扑上的逻辑分解。相对于机架规模的物理分解，由于机架中资源需求的改善，每个机架中服务器资源的逻辑分解使得总DC功耗（TDPC）略有下降。因此，启用了可同时支持内存（访问）时延敏感和不敏感工作负载的可适应的可组合基础结构。我们还对传统DC和可组合DC中微服务架构的采用情况进行了研究。我们的结果表明，增加工作负载的模块化可提高传统DC的能源效率，但DC资源的过度利用仍然存在。通过实现最佳资源利用和能源效率，将分类服务和微服务相结合，可将传统DC的TDPC降低多达23％。最后，