Garbage Collection in the Presence of Remote Objects: An Empirical Study

Srisa-an, Witawas; Oey, Mulyadi; Elbaum, Sebastian

doi:10.1007/11575801_9

Cited by 3 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the heap gets filled up quicker; thus, garbage collection is called more frequently. In addition, a study has shown that the lifespan of objects in server applications is longer than that of objects in desktop applications [18]. Longer living objects can degrade the garbage collection efficiency, prolong garbage collection pause times, and reduce the throughput.…”

Section: Hypothesesmentioning

confidence: 99%

See 1 more Smart Citation

Investigating throughput degradation behavior of Java application servers

Xian

Srisa-an

Jiang

2006

Proceedings of the 4th International Symposium on Principles and Practice of Programming in Java - PPPJ '06

Self Cite

View full text Add to dashboard Cite

Application servers are gaining popularity as a way for businesses to conduct day-to-day operations. Currently, the most adopted technologies for Application Servers are Java and .NET. While strong emphasis has been placed on the performance and throughput of these servers, only a few research efforts have focused on the degradation behaviors. Specifically, investigating how they perform under stress and factors that affect their throughput degradation behaviors. As a preliminary study, we conducted experiments to observe the throughput degradation behavior of Java application servers and found that the throughput degrades ungracefully. Thus, the goal of this work is three-fold: (i) identifying the primary factors that cause poor throughput degradation, (ii) investigating how these factors affect the throughput degradation, and (iii) observing how changes of algorithms and policies governing these factors affect the throughput degradation.

show abstract

Section: Hypothesesmentioning

confidence: 99%

“…A study by [18] has shown that there are commonly two types of objects in .NET server appliations, local and remote. Remote objects are defined as objects created to serve remote requests 9 , and local objects are created to serve local requests 10 .…”

Section: Effect Of Generational Collectormentioning

confidence: 99%

Investigating throughput degradation behavior of Java application servers

Xian

Srisa-an

Jiang

2006

Proceedings of the 4th International Symposium on Principles and Practice of Programming in Java - PPPJ '06

Self Cite

View full text Add to dashboard Cite

show abstract

“…Remote versus local objects. A study by [42] has shown that there are commonly two types of objects in .NET server applications: local and remote. Remote objects are defined as objects created to serve remote requests, and local objects are created to serve local requests.…”

Section: Effects Of Generational Garbage Collectionmentioning

confidence: 99%

Garbage collection: Java application servers’ Achilles heel

Xian

Srisa-an

Jiang

2008

Science of Computer Programming

Self Cite

View full text Add to dashboard Cite

Java application servers are gaining popularity as a way for businesses to conduct day-today operations. While strong emphasis has been placed on how to obtain peak performance, only a few research efforts have focused on these servers' ability to sustain top performance in spite of the ever-changing demands from users. As a preliminary study, we conducted an experiment to observe the throughput degradation behavior of a widely-used Java application server running a standardized benchmark and found that throughput performance degrades ungracefully. Thus, the goal of this work is threefold: (i) to identify the primary factors that cause poor throughput degradation, (ii) to investigate how these factors affect throughput degradation, and (iii) to observe how changes in algorithms and policies governing these factors affect throughput degradation.

show abstract