Journal
JOURNAL OF LIGHTWAVE TECHNOLOGY
Volume 39, Issue 10, Pages 3037-3063Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JLT.2021.3063325
Keywords
Composable infrastructures; energy efficient data centers; micro-services; MILP; optical networks; rack-scale data center; software defined infrastructures
Funding
- Engineering and Physical Sciences Research Council (EPSRC)
- INTelligent Energy aware NETworks (INTERNET) [EP/H040536/1]
- SwiTching And tRansmission (STAR) [EP/K016873/1]
- Terabit Bidirectional Multi-user Optical Wireless System (TOWS) project [EP/S016570/1]
- Petroleum Technology Trust Fund (PTDF), Nigeria
- EPSRC [EP/H040536/1, EP/K016873/1, EP/S016570/1] Funding Source: UKRI
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This paper explores the energy efficiency of composable data center infrastructures over various network topologies, finding that physical disaggregation at the rack-scale is most efficient in optical network topology. Logical disaggregation of traditional DC servers over an optical network topology also leads to marginal decrease in power consumption.
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.
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