NDLI: A scalable technique for characterizing the usage of temporaries in framework-intensive Java applications

Content Provider	ACM Digital Library
Author	Sevitsky, Gary Dufour, Bruno Ryder, Barbara G.
Abstract	Framework-intensive applications (e.g., Web applications) heavily use temporary data structures, often resulting in performance bottlenecks. This paper presents an optimized blended escape analysis to approximate object lifetimes and thus, to identify these temporaries and their uses. Empirical results show that this optimized analysis on average prunes 37% of the basic blocks in our benchmarks, and achieves a speedup of up to 29 times compared to the original analysis. Newly defined metrics quantify key properties of temporary data structures and their uses. A detailed empirical evaluation offers the first characterization of temporaries in framework-intensive applications. The results show that temporary data structures can include up to 12 distinct object types and can traverse through as many as 14 method invocations before being captured.
Starting Page	59
Ending Page	70
Page Count	12
File Format	PDF
ISBN	9781595939951
DOI	10.1145/1453101.1453111
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-11-09
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Java Program understanding Framework-intensive applications Performance Escape analysis Dataflow analysis
Content Type	Text
Resource Type	Article

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A scalable technique for characterizing the usage of temporaries in framework-intensive Java applications