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Portable and Accurate Collection of Calling-Context-Sensitive Bytecode Metrics for the Java Virtual Machine

Sarimbekov, Aibek ; Sewe, Andreas ; Binder, Walter ; Moret, Philippe ; Schoeberl, Martin ; Mezini, Mira :
Portable and Accurate Collection of Calling-Context-Sensitive Bytecode Metrics for the Java Virtual Machine.
[Online-Edition: http://dx.doi.org/10.1145/2093157.2093160]
In: International Conference on Principles and Practice of Programming in Java, 24-26 August 2011, Kongens Lyngby, Denmark. In: PPPJ '11 . New York, NY, USA
[Konferenz- oder Workshop-Beitrag], (2011)

Offizielle URL: http://dx.doi.org/10.1145/2093157.2093160

Kurzbeschreibung (Abstract)

Calling-context profiles and dynamic metrics at the bytecode level are important for profiling, workload characterization, program comprehension, and reverse engineering. Prevailing tools for collecting calling-context profiles or dynamic bytecode metrics often provide only incomplete information or suffer from limited compatibility with standard JVMs. However, completeness and accuracy of the profiles is essential for tasks such as workload characterization, and compatibility with standard JVMs is important to ensure that complex workloads can be executed. In this paper, we present the design and implementation of JP2, a new tool that profiles both the inter- and intra-procedural control flow of workloads on standard JVMs. JP2 produces calling-context profiles preserving callsite information, as well as execution statistics at the level of individual basic blocks of code. JP2 is complemented with scripts that compute various dynamic bytecode metrics from the profiles. As a case-study and tutorial on the use of JP2, we use it for cross-profiling for an embedded Java processor.

Typ des Eintrags: Konferenz- oder Workshop-Beitrag (Keine Angabe)
Erschienen: 2011
Autor(en): Sarimbekov, Aibek ; Sewe, Andreas ; Binder, Walter ; Moret, Philippe ; Schoeberl, Martin ; Mezini, Mira
Titel: Portable and Accurate Collection of Calling-Context-Sensitive Bytecode Metrics for the Java Virtual Machine
Sprache: Englisch
Kurzbeschreibung (Abstract):

Calling-context profiles and dynamic metrics at the bytecode level are important for profiling, workload characterization, program comprehension, and reverse engineering. Prevailing tools for collecting calling-context profiles or dynamic bytecode metrics often provide only incomplete information or suffer from limited compatibility with standard JVMs. However, completeness and accuracy of the profiles is essential for tasks such as workload characterization, and compatibility with standard JVMs is important to ensure that complex workloads can be executed. In this paper, we present the design and implementation of JP2, a new tool that profiles both the inter- and intra-procedural control flow of workloads on standard JVMs. JP2 produces calling-context profiles preserving callsite information, as well as execution statistics at the level of individual basic blocks of code. JP2 is complemented with scripts that compute various dynamic bytecode metrics from the profiles. As a case-study and tutorial on the use of JP2, we use it for cross-profiling for an embedded Java processor.

Buchtitel: Proceedings of the 9th International Conference on Principles and Practice of Programming in Java
Reihe: PPPJ '11
Ort: New York, NY, USA
Freie Schlagworte: Java virtual machine, bytecode instrumentation, calling context tree, cross-profiling
Fachbereich(e)/-gebiet(e): Fachbereich Informatik > Softwaretechnik
Zentrale Einrichtungen > CASED
Fachbereich Informatik
Zentrale Einrichtungen
Veranstaltungstitel: International Conference on Principles and Practice of Programming in Java
Veranstaltungsort: Kongens Lyngby, Denmark
Veranstaltungsdatum: 24-26 August 2011
Hinterlegungsdatum: 13 Jan 2012 10:51
Offizielle URL: http://dx.doi.org/10.1145/2093157.2093160
ID-Nummer: 10.1145/2093157.2093160
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