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Morpheus: A Run Time Compiler and Optimizer for Software Data Planes
DOI:10.1109/TNET.2023.3346286.png)
摘要
En 中文
State-of-the-art approaches to design, develop and optimize software packet-processing programs are based on static compilation: the compiler's input is a description of the forwarding plane semantics and the output is a binary that can accommodate any control plane configuration or input traffic. In this paper, we demonstrate that tracking control plane actions and packet-level traffic dynamics at run time opens up new opportunities for code specialization. We present, a system working alongside static compilers that continuously optimizes the targeted networking code. We introduce a number of new techniques, from static code analysis to adaptive code instrumentation, and we implement a toolbox of domain specific optimizations that are not restricted to a specific data plane framework or programming language. We apply to several systems, from eBPF and DPDK programs including Katran, Meta's production-grade load balancer to container orchestration solutions such a Kubernets. We compare to state-of-the-art optimization frameworks and show that it can bring up to 2x throughput improvement, while halving the 99th percentile latency.
Keyword:
Codes
Optimization
Software
Instruments
Firewalls (computing)
Containers
Traffic control
Data plane compilation
LLVM
eBPF
XDP
DPDK
期刊
I
IF:
3.6
论文数:
4.4K
被引数:
9.5K
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