A characterization of a Java-based commercial workload on a high-end enterprise server

Performance Evaluation Review

Volumn 34, Issue 1, 2006, Pages 379-380

  Steiner, Ian M ^a,b   Shut, Yefim ^a  

^a United States of America   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Garbage collection; Java; JVM; Memory management; Performance; SPECjAppServer2004; SPECjbb2000; SPECjvm98

Indexed keywords

GARBAGE COLLECTION; JVM; MEMORY MANAGEMENT; SPECJAPPSERVER2004; SPECJBB2000; SPECJVM98;

BENCHMARKING; COMPUTER HARDWARE; CORRELATION THEORY; ENTERPRISE RESOURCE PLANNING; INDUSTRIAL ECONOMICS; JAVA PROGRAMMING LANGUAGE; PERFORMANCE; STATISTICAL METHODS;

CLIENT SERVER COMPUTER SYSTEMS;

EID: 33750350372     PISSN: 01635999     EISSN: 01635999     Source Type: Conference Proceeding    
DOI: 10.1145/1140103.1140329     Document Type: Conference Paper

References (5)

1. Standard Performance Evaluation Council, SPECjAppServer2004 Benchmark, 2004. http://www.spec.org/jAppServer2004/.
2. M. Stoodley, "Challenges to improving the performance of middleware applications." 3rd Workshop on Managed Runtime Environments, 2005.
3. M. Hauswirth, P. F. Sweeney, A. Diwan, and M. Hind, "Vertical profiling: Understanding the behavior of object-oriented applications," in Proc. of OOPSLA, 2004.
4. Y. Shuf, M. J. Serrano, M. Gupta, and J. P. Singh, "Characterizing the memory behavior of Java workloads: A structured view and opportunities for optimizations," in SIGMETRICS, June 2001.
5. S. Blackburn, P. Cheng, and K. McKinley, "Myths and Realities: The performance impact of garbage collection." in SIGMETRICS, June 2004.