Abstract:
This thesis introduces a
exible cloud-based persistency framework that can
be used in a wide range of Multi-agent systems. The recent emergence of the
Internet of Things has made it possible for us to monitor and manage our
environment like never before. Small embedded devices can run an array of
sensors and communicate with each other using mechanisms such as Blue-
tooth SMART. Alongside such hardware developments, intelligent data pro-
cessing and control software also needs to be created. Multi-agent systems
provide a well-tailored architecture for such challenges. They are however
often limited in terms of persistency and scalability. In our work we have
designed and implemented a new in memory agent persistency framework. In
order to evaluate proposed approach two prototypes have been implemented,
one using the proposed solution and the other using an established agents
persistency environment. Experimental results con rm that our framework
is more scalable than existing approaches whilst providing a similar level of
persistency.
