Self-Configuration of Network Services with Biologically Inspired Learning and Adaptation
Journal of Network and Systems Management
Applying biological principles to designs of network services
Applied Soft Computing
Exploring biologically-inspired evolvable network applications with the BEYOND architecture
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
Biologically inspired self-governance and self-organisation for autonomic networks
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
Bio-Inspired Computing and Communication
Policy-constrained bio-inspired processes for autonomic route management
Computer Networks: The International Journal of Computer and Telecommunications Networking
A traffic engineering approach for placement and selection of network services
IEEE/ACM Transactions on Networking (TON)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
A taxonomy of biologically inspired research in computer networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
Adaptive dynamic routing supporting service management for future internet
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A game theoretic framework for peer-to-peer market economy
International Journal of Grid and Utility Computing
Biologically inspired future service environment
Computer Networks: The International Journal of Computer and Telecommunications Networking
Future Generation Computer Systems
A distributed hierarchical structure for object networks supporting human activity recognition
MMNS'06 Proceedings of the 9th IFIP/IEEE international conference on Management of Multimedia and Mobile Networks and Services
Frontiers of Computer Science in China
A distributed architecture for enforcing norms in open MAS
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Self-Optimization and Self-Stabilization in Autonomic Clouds
Concurrency and Computation: Practice & Experience
MaNEA: A distributed architecture for enforcing norms in open MAS
Engineering Applications of Artificial Intelligence
Business Network Modelling: SOA-Based Approach and Dynamic Logistics Case Study
International Journal of Information System Modeling and Design
Genetic Programming and Evolvable Machines
Bio-inspired service management framework: green data-centres case study
International Journal of Grid and Utility Computing
Self-Adaptive Resource Allocation in Cloud Applications
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
| Hi-index | 0.00 |
This paper proposes a novel framework for developing adaptive and scalable network services. In the proposed framework, a network service is implemented as a group of autonomous agents that interact in the network environment. Agents in the proposed framework are autonomous and capable of simple behaviors (e.g., replication, migration, and death). In this paper, an evolutionary adaptation mechanism is designed using genetic algorithms (GAs) for agents to evolve their behaviors and improve their fitness values (e.g., response time to a service request) to the environment. The proposed framework is evaluated through simulations, and the simulation results demonstrate the ability of autonomous agents to adapt to the network environment. The proposed framework may be suitable for disseminating network services in dynamic and large-scale networks where a large number of data and services need to be replicated, moved, and deleted in a decentralized manner.