Latency and bandwidth-minimizing failure detectors

Failure detectors are fundamental building blocks in distributed systems. Multi-node failure detectors, where the detector is tasked with monitoring N other nodes, play a critical role in overlay networks and peer-to-peer systems. In such networks, failures need to be detected quickly and with low overhead. Achieving these properties simultaneously poses a difficult tradeoff between detection latency and resource consumption.

In this paper, we examine this central tradeoff, formalize it as an optimization problem and analytically derive the optimal closed form formulas for multi-node failure detectors. We provide two variants of the optimal solution for optimality metrics appropriate for two different deployment scenarios. √s-LM is a latency-minimizing optimal failure detector that achieves the lowest average failure detection latency given a fixed bandwidth constraint for system maintenance. √s-BM is a bandwidth-minimizing optimal failure detector that meets a desired detection latency target with the least amount of bandwidth consumed. We evaluate our optimal results with node lifetimes chosen from bimodal and Pareto distributions, as well as real-world trace data from PlanetLab hosts, web sites and Microsoft PCs. Compared to standard failure detectors in wide use, √s failure detectors reduce failure detection latencies by 40% on average for the same bandwidth consumption, or conversely, reduce the amount of bandwidth consumed by 30% for the same failure detection latency.