Complex Dynamic Networks can be exploited in solving problems where traditional solutions may not be sufficient. The increasing complexity of computer networks imposes problems to the current network management solutions. In this context, network management is an example of a research area that could benefit from the use of CDNs. However, the consistency of state of management data among the elements that build management CDNs (management nodes) is an important challenge. Traditional mechanisms to maintain consistency of these states are supported by some centralization which wastes some desirable properties of CDNs (e.g., robustness). In contrast to these mechanisms, we propose a distributed, scalable and robust mechanism to maintain the consistency of state of management data in management CDNs. Our mechanism introduces multi-agent truth maintenance features and communication strategies based on dynamic process to provide consistency maintenance of state of management data. We developed a model of a management CDN on Peersim simulator to perform experiments. Besides, 2 case studies are presented. The result obtained supports our scalability and robustness claims.
@cite_17: Scalable management and self-organizational capabilities areemerging as central requirements for a generation of large-scale,highly dynamic, distributed applications. We have developed anentirely new distributed information management system calledAstrolabe. Astrolabe collects large-scale system state, permittingrapid updates and providing on-the-fly attribute aggregation. Thislatter capability permits an application to locate a resource, andalso offers a scalable way to track system state as it evolves overtime. The combination of features makes it possible to solve a widevariety of management and self-configuration problems. This paperdescribes the design of the system with a focus upon itsscalability. After describing the Astrolabe service, we presentexamples of the use of Astrolabe for locating resources,publish-subscribe, and distributed synchronization in largesystems. Astrolabe is implemented using a peer-to-peer protocol,and uses a restricted form of mobile code based on the SQL querylanguage for aggregation. This protocol gives rise to a novelconsistency model. Astrolabe addresses several securityconsiderations using a built-in PKI. The scalability of the systemis evaluated using both simulation and experiments; these confirmthat Astrolabe could scale to thousands and perhaps millions ofnodes, with information propagation delays in the tens of seconds.
@cite_17 is a distributed information management service. It works locating and collecting the status of a set of servers and reporting summaries of this information. is implemented using a P2P overlay, where every peer run an agent (, in a MAS fashion). However, was developed primarily using simple data models. Besides, its operation is aimed at read-oriented applications.