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A load balancer (LB) is a vital network function for cloud services tobalance the load amongst resources. Stateful software LBs that run on commodityservers provides flexibility, cost-efficiency, and packet consistency. Howevercurrent designs have two main limitations: 1) states are stored as digestswhich may cause packet inconsistency due to digest collisions; 2) the dataplane needs to update for every new connection, and frequent updates hurtthroughput and packet consistency. In this work, we present a new softwarestateful LB called Concury, which is the first solution to solve theseproblems. The key innovation of Concury is an algorithmic approach to store andlook up large network states with frequent connection arrivals, which issuccinct in memory cost, consistent under network changes, and incursinfrequent data plane updates. The evaluation results show that the Concuryalgorithm provides 4x throughput and consumes less memory compared to other LBalgorithms, while providing weighted load balancing and false-hit freedom, forboth real and synthetic data center traffic. We implement Concury as aprototype system deployed in CloudLab and show that the throughput of Concuryon a single thread can reach 62.5% of the maximum capacity of two 10GbE NICsand that on two threads can reach the maximum capacity.

Concury: A Fast and Light-weighted Software Load Balancer