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  1. Proceedings of the 8th ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering (PASTE '08)
  2. Elyze: enabling safe parallelism in event-driven servers
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Program analysis for compiler validation
A field study in static extraction of runtime architectures
A non-null annotation inferencer for Java bytecode
Path projection for user-centered static analysis tools
Effective identification of failure-inducing changes: a hybrid approach
Java memory model aware software validation
Specification mining of symbolic scenario-based models
Sharing analysis of arrays, collections, and recursive structures
Addressing common crosscutting problems with Arcum
Towards a more efficient static software change impact analysis method
Elyze: enabling safe parallelism in event-driven servers
Static analysis for inference of explicit information flow
XFindBugs: eXtended FindBugs for AspectJ

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Elyze: enabling safe parallelism in event-driven servers

Content Provider ACM Digital Library
Author Jannotti, John Pamnany, Kiran
Abstract It is increasingly necessary for applications to take advantage of concurrency in order to increase performance. Unfortunately, it is notoriously difficult to write correct concurrent applications as they are subject to a variety of subtle bugs that can be difficult to reproduce. We advocate an approach to developing these applications, particularly servers, in which a conservative static analysis determines when code segments may safely run in parallel, and a runtime scheduler respects these constraints, an approach that is safe by default. We have built an analyzer for event-driven servers written in C that detects unsafe data sharing between event handlers. When the analysis determines that two event handlers might access the same data, whether through a global variable or through the request-specific data structure passed to the handlers, it produces a constraint on the concurrent execution of those handlers. We are building a complementary runtime system that will use these constraints to safely run event handlers concurrently. We have analyzed thttpd, an event-driven web server, and show that our analyzer finds safe parallelism in this server, enabling increased performance without the hazards of threads and locks.
Starting Page 15
Ending Page 21
Page Count 7
File Format PDF
ISBN 9781605583822
DOI 10.1145/1512475.1512479
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2008-11-09
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Static analysis Concurrency scheduling
Content Type Text
Resource Type Article
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