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Content Provider | ACM Digital Library |
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Author | Bacon, David F. Grove, David Sciampacone, Ryan Auerbach, Joshua Cheng, Perry Micic, Aleksandar Biron, Ben McCloskey, Bill Gracie, Charlie |
Abstract | Real-time Garbage Collection (RTGC) has recently advanced to the point where it is being used in production for financial trading, military command-and-control, and telecommunications. However, among potential users of RTGC, there is enormous diversity in both application requirements and deployment environments. Previously described RTGCs tend to work well in a narrow band of possible environments, leading to fragile systems and limiting adoption of real-time garbage collection technology. This paper introduces a collector scheduling methodology called tax-and-spend and the collector design revisions needed to support it. Tax-and-spend provides a general mechanism which works well across a variety of application, machine, and operating system configurations. Tax-and-spend subsumes the predominant pre-existing RTGC scheduling techniques. It allows different policies to be applied in different contexts depending on the needs of the application. Virtual machines can co-exist compositionally on a single machine. We describe the implementation of our system, Metronome-TS, as an extension of the Metronome collector in IBM's Real-time J9 virtual machine product, and we evaluate it running on an 8-way SMP blade with a real-time Linux kernel. Compared to the state-of-the-art Metronome system on which it is based, implemented in the identical infrastructure, it achieves almost 3x shorter latencies, comparable utilization at a 2.5x shorter time window, and mean throughput improvements of 10-20%. |
Starting Page | 245 |
Ending Page | 254 |
Page Count | 10 |
File Format | |
ISBN | 9781605584683 |
DOI | 10.1145/1450058.1450092 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2008-10-19 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Garbage collection Jvm Java Real time |
Content Type | Text |
Resource Type | Article |
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