Predictive Garbage Collection
Garbage collections are likely to occur 30% more frequently, necessitating a predictive model to estimate their duration based on workload. The complexity arises from various factors, including document size and operational specifics, making accurate predictions a challenging endeavor. The conversation emphasizes that these issues should not persist in modern software engineering, suggesting a need for innovative solutions beyond outdated practices.In this clip
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SE-Radio Episode 277: Gil Tene on Tail Latency
Related Questions
Are there tools to manage workload better for Java garbage collection as discussed in the episode SE-Radio-Episode-255:-Monica-Beckwith-on-Java-Garbage-Collection and the clip Future of Garbage Collection?
What is the Future of Garbage Collection about in the episode SE-Radio-Episode-255:-Monica-Beckwith-on-Java-Garbage-Collection?