2026-08-20T15:37:02Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/1173802025-09-02T14:50:54Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense
author
Velasco Cabo, José Manuel
author
Olcoz Herrero, Katzalin
author
Tirado Fernández, José Francisco
2025-01-30T15:56:51Z
2025-01-30T15:56:51Z
2004
Velasco, J.M., Olcoz, K., Tirado, F. (2004). Adaptive Tuning of Reserved Space in an Appel Collector. In: Odersky, M. (eds) ECOOP 2004 – Object-Oriented Programming. ECOOP 2004. Lecture Notes in Computer Science, vol 3086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24851-4_25
10.1007/978-3-540-24851-4_25
https://hdl.handle.net/20.500.14352/117380
https://doi.org/10.1007/978-3-540-24851-4_25
The use of automatic memory management in object-oriented languages like Java is becoming widely accepted because of its software engineering benefits, its reduction of programming time and its safety aspects. Nevertheless, the complexity of garbage collection results in an important time cost for the virtual machine’s job. Until now, garbage collection strategies have focused on analyzing and adjusting regions in the heap based on different approaches and algorithms. Each strategy has its own distinct advantages over the others depending on the data behavior of a specific application, but none succeeds in taking advantage of all available resources for all application behaviors. In this paper, we present and evaluate two adaptive strategies based on data lifetime that reallocate at run time the reserved space in the nursery of generational Appel collectors. The adaptive tuning of reserved space produces a drastic reduction in the number of collections and the total collection time, and has a clear effect on the final execution time.
eng
Adaptive tuning of reserved space in an appel collector
journal article
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URL
https://docta.ucm.es/bitstreams/74971f16-1f88-4430-95fa-8e6ae6d9e511/download
File
MD5
7436def1eb825835b8d42e47819fd2c4
3200398
application/pdf
appel_collector.pdf
URL
https://docta.ucm.es/bitstreams/21ac5ad2-be6a-4c26-bed8-9e3b4c059f23/download
File
MD5
08750aceb339d83f89b656d34e02a59c
34
text/plain
appel_collector.pdf.txt