Abstract machines for safe ambients in wide-area and mobile networks

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Abstract

Recently, there have been several studies focusing on the implementation of process calculi with distribution and mobility. Among these, Pan and GcPan are distributed abstract machines for executing Safe Ambients, a variant of the Ambient calculus. However, in order to use them or to exploit their implementation techniques, we must assume all-to-all and permanent connectivity in the underlying network; this is inappropriate for most real-world wide-area and mobile networks, in which each private network is delimited by network boundaries and each mobile device may become disconnected at any moment. In this paper, we propose novel abstract machines Pan mov , GcPan mov , and GcPan shift that can handle such network boundaries and mobile devices by using a special kind of agents called boundary forwarders. Especially in GcPan shift , operations related to boundary forwarders improve the fault tolerance of user programs. Finally, we prove the correctness of the proposed machines by using weak barbed bisimulation. © 2011 Springer-Verlag.

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APA

Umatani, S., Yasugi, M., & Yuasa, T. (2011). Abstract machines for safe ambients in wide-area and mobile networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6721 LNCS, pp. 172–186). https://doi.org/10.1007/978-3-642-21464-6_12

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