NDLI: Automated discovery of scoped memory regions for real-time Java

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Understanding the connectivity of heap objects

Thread-local heaps for Java

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Adaptive caching for demand prepaging

Accurate garbage collection in an uncooperative environment

Reducing pause time of conservative collectors

Visualising the train garbage collector

Heap architectures for concurrent languages using message passing

Using passive object garbage collection algorithms for garbage collection of active objects

An adaptive, region-based allocator for java

Software caching vs. prefetching

Automated discovery of scoped memory regions for real-time Java

Estimating the impact of heap liveness information on space consumption in Java

Dynamic memory management for programmable devices

Mostly lock-free malloc

In or out?: putting write barriers in their place

Automated discovery of scoped memory regions for real-time Java

Content Provider	ACM Digital Library
Author	Deters, Morgan Cytron, Ron K.
Abstract	Advances in operating systems and languages have brought the ideal of reasonably-bounded execution time closer to developers who need such assurances for real-time and embedded systems applications. Recently, extensions to the Java libraries and virtual machine have been proposed in an emerging standard, which provides for specification of release times, execution costs, and deadlines for a restricted class of threads. To use such features, the code executing in the thread must never reference storage that could be subject to garbage collection. The new standard provides for region-like, stack-allocated areas (scopes) of storage that are ignored by garbage collection and deallocated en masse. It now falls to the developer to adapt ordinary Java code to use the real-time Java scoped memory regions.Unfortunately, it is difficult to determine manually how to map object instantiations to scopes. Moreover, if ordinary Java code is modified to effect instantiations in scopes, the resulting code is difficult to read, maintain, and reuse. Static analysis can yield scopes that are correct across all program executions, but such analysis is necessarily conservative in nature. If too many objects appear to live forever under such analysis, then developers cannot rely on static analysis alone to form reasonable scopes.In this paper we present an approach for automatically determining appropriate storage scopes for Java objects, based on dynamic analysis---observed object lifetimes and object referencing behavior. While such analysis is perhaps unsafe across all program executions, our analysis can be coupled with static analysis to bracket object lifetimes, with the truth lying somewhere in between. We provide experimental results that show the memory regions discovered by our technique.
Starting Page	132
Ending Page	142
Page Count	11
File Format	PDF
ISBN	1581135394
DOI	10.1145/512429.512433
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2002-06-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Garbage collection Trace-based analysis Memory management Real-time java Regions
Content Type	Text
Resource Type	Article

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