Analysis of Distributed Java Applications Using Dynamic Instrumentation

Author

Seragiotto, Clovis ; Fahringer, Thomas

Author_Institution

Inst. of Sci. Comput., Vienna Univ.

fYear

2005

fDate

Sept. 2005

Firstpage

1

Lastpage

10

Abstract

Although new Java virtual machines provide an API to obtain raw performance data, it is still the task of a skillful performance analysis tool to take all the strategic decisions for instrumentation and performance analysis of distributed Java programs. In this paper we demonstrate two new tools. Twilight and Aksum, which try to automatically instrument code regions, to determine what performance data to collect, to interpret performance data, and to relate the bottlenecks found back to source code. We present experiments with a widely distributed Java application running on a heterogeneous set of machines with different operating systems to demonstrate the efficacy of our tools

Keywords

Java; grid computing; program diagnostics; virtual machines; Aksum; Twilight; code region instrumentation; distributed Java application; dynamic instrumentation; performance analysis tool; Application software; Distributed computing; Instruments; Java; Monitoring; Operating systems; Performance analysis; Sun; Virtual machining; Yarn;

fLanguage

English

Publisher

ieee

Conference_Titel

Cluster Computing, 2005. IEEE International

Conference_Location

Burlington, MA

ISSN

1552-5244

Print_ISBN

0-7803-9486-0

Electronic_ISBN

1552-5244

Type

conf

DOI

10.1109/CLUSTR.2005.347065

Filename

4154108