A correct abstract machine for safe ambients

  • Authors:
  • Daniel Hirschkoff;Damien Pous;Davide Sangiorgi

  • Affiliations:
  • ENS Lyon, France;ENS Lyon, France;Università di Bologna, Italy

  • Venue:
  • COORDINATION'05 Proceedings of the 7th international conference on Coordination Models and Languages
  • Year:
  • 2005

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Abstract

We describe an abstract machine, called GcPan, for the distributed execution of Safe Ambients (SA), a variant of the Ambient Calculus (AC). Our machine improves over previous proposals for executing AC, or variants of it, mainly through a better management of special agents (forwarders), created upon code migration to transmit messages to the target location of the migration. We establish the correctness of our machine by proving a weak bisimilarity result with a previous abstract machine for SA, and then appealing to the correctness of the latter machine. More broadly, this study is a contribution towards understanding issues of correctness and optimisations in implementations of distributed languages encompassing mobility.