Persistent And Scalable JADE: A Cloud based InMemory Multi-agent Framework

Khalid, Nauman, Tahir, Ghalib Ahmed, Bloodsworth, Peter

arXiv.org Artificial Intelligence 

There are several approaches which are used by Java Persistence API [12], [13], [14], Serialization mechanism [13] Multi-agent systems are often limited in terms of persistence, DBMS [14] and JADE Persistence Services [15]. This issue is more prevalent for applications in persistency framework did improve the flexibility and stability which agent states changes frequently. This makes the existing of an agent-based system however it increases the complexity methods less usable as they increase the agent's complexity of agents whose state changes in real-time. In the case when and are less scalable. This research study has presented a a certain object of agent is persisted in the database using novel in-memory agent persistence framework. Two prototypes composite keys, there is an increase in complexity to persist have been implemented, one using the proposed solution and and find the object. Increase in artifact size, framework complexity, the other using an established agent persistency environment. There is also a chance of Virtual Machine instance similar level of persistency. These findings will help future failure which will further increase the recovery time of the real-time multiagent systems to become scalable and persistent agent placed on a single instance due to VM churn time. in a dynamic cloud environment. However, when the data persistence is for a longer period or the state of the object frequently updates, the II. 2. I Moreover, when there is a change in many areas including aircraft maintenance, electronic book any data structure of the agent, the serialized object cannot be buying, network security, military logistic planning and maintaining deserialized even when you know the session id.

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