The performance of an application/runtime is usually conceptualized as a continuous function where, the lower the amount of memory/time used on a given workload, then the better the compiler/runtime is. However, in practice, good performance of an application is viewed as more of a binary function - either the application responds in under, say 100 ms, and provides a good user experience, or it takes a noticeable amount of time, leaving the user waiting and potentially abandoning the task. Thus, performance really means how often the application is fast enough to meet user expectations, leading industrial developers to focus on the 95th and 99th percentile tail-latencies as heavily, or moreso, than average response time. Our vision is to create a software stack that actively supports these needs via programming language and runtime system design. In this paper we present a novel garbage-collector design, the Catalpa collector, for the Bosque programming language and runtime. This allocator is designed to minimize latency and tail-latency variability while maintaining high-throughput and incurring small memory overheads. To achieve these goals we leverage various features of the Bosque language, including immutability and reference-cycle freedom, to construct a collector that has provably bounded collection pauses, incurs a fixed-constant memory overhead, and ensures starvation freedom for the application!

翻译：暂无翻译