Self-Organizing Network Services With Evolutionary Adaptation  

Oleh:

Nakano, T. ; Suda, T.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 16 no. 5 (Sep. 2005), page 1269-1278.
Topik: adaptation; self - organizing; network services; evolutionary adaptation

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.12 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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 (GA s) for agents to evolve their behaviours 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.

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