Performance evaluation of embedded garbage collectors in CVM environment

Authors:
Chang-Il Cha;Sang-Wook Kim;Ji-Woong Chang;Miyoung Shin
Affiliations:
Department of Information and Communications, Hanyang University;Department of Information and Communications, Hanyang University;Department of Game and Multimedia Engineering, Korea Polytechnic University;School of Electrical Engineering and Computer Science, Kyungpook National University
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Year:
2007

Citing 5
Cited 0

Garbage collection: algorithms for automatic dynamic memory management

Garbage collection: algorithms for automatic dynamic memory management
Generation Scavenging: A non-disruptive high performance storage reclamation algorithm

SDE 1 Proceedings of the first ACM SIGSOFT/SIGPLAN software engineering symposium on Practical software development environments
Tuning Garbage Collection in an Embedded Java Environment

HPCA '02 Proceedings of the 8th International Symposium on High-Performance Computer Architecture
Myths and realities: the performance impact of garbage collection

Proceedings of the joint international conference on Measurement and modeling of computer systems
Garbage collection in an embedded java virtual machine

KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

Garbage collection in the Java virtual machine is a core function that relieves application programmers of difficulties related to memory management. In this paper, we evaluate the performance of GenGC and GenRGC, garbage collectors for the embedded Java virtual machine, CVM. To compare the performance of GenGC and GenRGC, we first evaluate the execution time of garbage collection and the delay time caused by garbage collection. Second, for more detailed performance analysis of GenRGC, we evaluate the execution time of garbage collection and the delay time caused by garbage collection while changing the sizes of a block and a frame. Third, we analyze the size of storage space required for performing GenRGC, and show GenRGC to be suitable for embedded environment with a limited amount of memory. Since CVM is the most representative one of embedded Java virtual machines, this performance study is quite meaningful in that we can predict the performance of garbage collectors in real application environments more accurately.