Stanford University Networking Seminar
SwitchKV is a cost-efficient key-value store system that combines high-performance cache nodes with resource-constrained backend nodes to provide load balancing in the face of unpredictable workload skew. The cache nodes absorb the hottest queries so that no individual backend node is over-burdened. Compared with previous designs, SwitchKV exploits SDN techniques and deeply optimized switch hardware to enable efficient content-based routing. Programmable network switches keep track of cached keys and route requests to the appropriate nodes at line speed, based on keys encoded in packet headers. A new hybrid caching strategy keeps cache and switch forwarding rules updated with low overhead and ensures that system load is always well-balanced under rapidly changing workloads. SwitchKV can meet the performance goals for many cloud services more efficiently than traditional systems.
Xiaozhou Li is a software engineer at Barefoot Networks, where he is building new networking systems with fast programmable network chips. Xiaozhou just received his PhD in Computer Science from Princeton University in May 2016. His research improves the performance, scalability and efficiency of datacenter services, with a particular focus on combining new hardware and infrastructure capabilities with careful architectural design and algorithm engineering.