Gil Tene is CTO and co-founder of Azul Systems. He has been involved with virtual machine technologies for the past 20 years and has been building Java technology-based products since 1995. Gil pioneered Azul's Continuously Concurrent Compacting Collector (C4), Java Virtualization, Elastic Memory, and various managed runtime and systems stack technologies that combine to deliver the industry's most scalable and robust Java platforms. In 2006 he was named one of the Top 50 Agenda Setters in the technology industry by Silicon.com. Prior to co-founding Azul, Gil held key technology positions at Nortel Networks, Shasta Networks and at Check Point Software Technologies, where he delivered several industry-leading traffic management solutions including the industry's first Firewall-1 based security appliance. He architected operating systems for Stratus Computer, clustering solutions at Qualix/Legato, and served as an officer in the Israeli Navy Computer R and D unit. Gil holds a BSEE from The Technion Israel Institute of Technology, and has been awarded 28 patents in computer-related technologies.
Garbage Collection is an integral part of application behavior on Java platforms, yet it is often misunderstood. As such, it is important for Java developers to understand the actions you can take in selecting and tuning collector mechanisms, as well as in your application architecture choices. In this session, Gil Tene (CTO, Azul Systems) will review and classify the various garbage collectors and collection techniques available in JVMs today. Following a quick overview of common garbage collection techniques including generational, parallel, stop-the-world, incremental, concurrent and mostly-concurrent algorithms, we will define terms and metrics common to all collectors. We will classify each major JVM collector's mechanisms and characteristics and discuss the tradeoffs involved in balancing requirements for responsiveness, throughput, space, and available memory across varying scale levels. We will conclude with some pitfalls, common misconceptions, and "myths" around garbage collection behavior, as well as examples of how some good choices can result in impressive application behavior.