An expressive aspect language for system applications with Arachne

  • Authors:
  • Rémi Douence;Thomas Fritz;Nicolas Loriant;Jean-Marc Menaud;Marc Ségura-Devillechaise;Mario Südholt

  • Affiliations:
  • École des Mines de Nantes/INRIA, France;École des Mines de Nantes/INRIA, France;École des Mines de Nantes/INRIA, France;École des Mines de Nantes/INRIA, France;École des Mines de Nantes/INRIA, France;École des Mines de Nantes/INRIA, France

  • Venue:
  • Proceedings of the 4th international conference on Aspect-oriented software development
  • Year:
  • 2005

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Abstract

C applications, in particular those using operating system level services, frequently comprise multiple crosscutting concerns: network protocols and security are typical examples of such concerns. While these concerns can partially be addressed during design and implementation of an application, they frequently become an issue at runtime, e.g., to avoid server downtime. A deployed network protocol might not be efficient enough and may thus need to be replaced. Buffer overflows might be discovered that imply critical breaches in the security model of an application. A prefetching strategy may be required to enhance performance.While aspect-oriented programming seems attractive in this context, none of the current aspect systems is expressive and efficient enough to address such concerns. This paper presents a new aspect system to provide a solution to this problem. While efficiency considerations have played an important part in the design of the aspect language, the language allows aspects to be expressed more concisely than previous approaches. In particular, it allows aspect programmers to quantify over sequences of execution points as well as over accesses through variable aliases. We show how the former can be used to modularize the replacement of network protocols and the latter to prevent buffer overflows. We also present an implementation of the language as an extension of Arachne, a dynamic weaver for C applications. Finally, we present performance evaluations supporting that Arachne is fast enough to extend high performance applications, such as the Squid web cache.