Comparative analysis of the expressiveness of shared dataspace coordination1 1Work partially supported by Italian Ministry of University - MURST 40% - Progetto TOSCA.

AbstractWe study the expressiveness of the most prominent representatives of the family of shared dataspace coordination languages, namely Linda, Gamma and Concurrent Constraint Programming.The investigation is carried out by exploiting and integrating three different comparison techniques: weak and strong modular embedding and property–preserving encodings.We obtain a hierarchy of coordination languages that provides useful insights for both the design and the use of coordination languages