The Stanford GraphBase: a platform for combinatorial computing
The Stanford GraphBase: a platform for combinatorial computing
Multicast tree generation in networks with asymmetric links
IEEE/ACM Transactions on Networking (TON)
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Introducing new Internet services: why and how
IEEE Network: The Magazine of Global Internetworking
The dawning of the autonomic computing era
IBM Systems Journal
Deployment and management of component-based services in active networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Active networks
Exploiting Context-Awareness for the Autonomic Management of Mobile Ad Hoc Networks
Journal of Network and Systems Management
Grid-based dynamic service overlays
Future Generation Computer Systems
Dynamic security reconfiguration for the semantic web
Engineering Applications of Artificial Intelligence
Autonomic networks: engineering the self-healing property
Engineering Applications of Artificial Intelligence
Cooperative evolution of services in ubiquitous computing environments
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
A framework for ensuring and improving dependability in highly distributed systems
Architecting Dependable Systems III
Context-Driven self-configuration of mobile ad hoc networks
WAC'05 Proceedings of the Second international IFIP conference on Autonomic Communication
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Networks have been growing dramatically in size and functionality in past years. Internet Protocol network nodes not only forward datagrams using longest-prefix matching of the destination address, but also execute functions based on dynamic policies such as proxy-caching, encryption, tunneling, and firewalling. More recently, programmable behaviors have begun to appear in network elements, allowing experimentation with even more sophisticated services. This paper presents an autonomic approach to network service deployment that scales to large heterogeneous networks. Topological categories of service deployment are introduced. A two-phase deployment mechanism that is split into hierarchically distributed and central computations is presented and illustrated with examples of actual services in a programmable network environment, together with their deployment algorithms and simulation results. Autonomic service deployment allows the distributed and complex capabilities present in network elements to be leveraged more efficiently when installing new services than is possible in traditional centralized network management-based approaches. As a result, installation is faster and use of functional resources is more optimized.