In our upcoming EuroSys 2019 paper, we exploit the characteristics of non-uniform cache architecture (NUCA) in recent Intel processors to introduce a new memory management scheme, i.e., slice-aware memory management. We believe that we are the first to: (i) take a step toward using the current hardware more efficiently in this manner, and (ii) advocate taking advantage of NUCA characteristics in LLC and allowing networking applications to benefit from it. In addition, we propose CacheDirector, a network I/O solution which extends Direct Data I/O (DDIO) and places the packet’s header in the slice of the LLC that is closest to the relevant processing core. The results of our work showed that CacheDirector could reduce the tail latencies in latency-critical Network Function Virtualization (NFV) service chains by 21.5%. Furthermore, our work demonstrated that optimizing the computer systems and taking advantage of nanosecond improvements could have a higher impact on the performance of networking applications.
Recent Posts
- Final publication in our project: “Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming over HTTP (DASH)”
- Alexandros’ licentiate defense
- Our PAM 2021 paper: “What you need to know about (Smart) Network Interface Cards”
- Our ASPLOS ’21 Paper: “PacketMill: Toward Per-Core 100-Gbps Networking”
- Timely survey on applying machine learning to solve complex combinatorial optimization problems over networks
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