Services for information dissemination (push services) are being widely used, in particular for applications involving mobile users. These services generally serve devices with diferent resources and with distinct execution contexts (wireless connectivity, energy source, etc.), making it necessary to adapt disseminated content individual and dynamically for each client. Since many content adaptations involve costly operations and demand high processing power, these should not be executed at the mobile clients. On the other hand, it is neither efficient nor scalable to execute the adaptations for each mobile client at the server. Thus, in such services, it is common to use proxies dedicated to content adaptations (based on the context) of clients. Asynchronous communication, such as publish/- subscribe, is considered the most appropriate form of communication for this type of service. On the other hand, systems for context-aware content adaptation do not support this type of communication. In this thesis we present an architecture for publish/subscribe systems with context-aware content adaptation, that uses an algorithm that optimizes the content adaptation for large sets of clients.