Research output per year
Research output per year
Alessio Mansutti, Marino Miculan, Marco Peressotti
Research output: Contribution to journal › Journal article › Research › peer-review
The bigraph embedding problem is crucial for many results and tools about bigraphs and bigraphical reactive systems (BRS). Current algorithms for computing bigraphical embeddings are centralized, i.e. designed to run locally with a complete view of the guest and host bigraphs. In order to deal with large bigraphs, and to parallelize reactions, we present a decentralized algorithm, which distributes both state and computation over several concurrent processes. This allows for distributed, parallel simulations where non-interfering reactions can be carried out concurrently; nevertheless, even in the worst case, the complexity of this distributed algorithm is no worse than that of a centralized algorithm.
Original language | English |
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Journal | Electronic Communications of the EASST |
Volume | 71 |
Number of pages | 21 |
DOIs | |
Publication status | Published - 1. Jan 2015 |
Externally published | Yes |
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review