DocumentCode :
2408863
Title :
A performance comparison between stop-the-world and multithreaded concurrent generational garbage collection for Java
Author :
Lo, Chia-Tien Dan ; Srisa-An, Witawas ; Chang, J. Morris
Author_Institution :
Dept. of Comput. Sci., Illinois Inst. of Technol., Chicago, IL, USA
fYear :
2002
fDate :
2002
Firstpage :
301
Lastpage :
308
Abstract :
The recent popularity of the Java programming language has brought automatic dynamic memory management (a.k.a., the garbage collection) into the mainstream. Traditional garbage collectors suffer from long garbage collection pauses (stop-the-world mark-sweep algorithm) or inability of collecting cyclic garbage (reference counting approach). Generational garbage collection, however, is based only on the weak generational hypothesis that most objects die young. In this paper, the performance evaluation of a new multithreaded concurrent generational garbage collector (MCGC) based on mark-sweep with the assistance of reference counting is reported. The MCGC can take advantage of multiple CPUs in an SMP system and the merits of lightweight processes. Furthermore, the long garbage collection pause can be reduced and the garbage collection efficiency can be enhanced. Measurement results indicate that the MCGC improves the garbage collection pause time up to 96.75% over the traditional stop-the-world mark-sweep garbage collector. Moreover, the MCGC receives minimal time and space penalties as shown in the report of the total execution time, the memory footprint and the sticky reference count rate
Keywords :
Java; multi-threading; object-oriented programming; software performance evaluation; storage management; Java; MCGC; automatic dynamic memory management; execution time; memory footprint; modified buddy system; multithreaded concurrent generational garbage collection; object oriented programming; performance comparison; reference counting approach; stop-the-world mark-sweep algorithm; Computer languages; Computer science; Dynamic programming; Java; Memory management; Object oriented programming; Parallel programming; Technology management; Time measurement; Virtual machining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Performance, Computing, and Communications Conference, 2002. 21st IEEE International
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-7371-5
Type :
conf
DOI :
10.1109/IPCCC.2002.995163
Filename :
995163
Link To Document :
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