Parallel Evolutionary Peer-to-Peer Networking in Realistic Environments
In the present paper we first conduct simulations of the parallel evolutionary peer-to-peer (P2P) networking technique (referred to as P-EP2P) that we previously proposed using models of realistic environments to examine if P-EP2P is practical. Environments are here represented by what users have an...
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Wiley
2017-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2017/4169152 |
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| author | Kei Ohnishi |
| author_facet | Kei Ohnishi |
| author_sort | Kei Ohnishi |
| collection | DOAJ |
| description | In the present paper we first conduct simulations of the parallel evolutionary peer-to-peer (P2P) networking technique (referred to as P-EP2P) that we previously proposed using models of realistic environments to examine if P-EP2P is practical. Environments are here represented by what users have and want in the network, and P-EP2P adapts the P2P network topologies to the present environment in an evolutionary manner. The simulation results show that P-EP2P is hard to adapt the network topologies to some realistic environments. Then, based on the discussions of the results, we propose a strategy for better adaptability of P-EP2P to the realistic environments. The strategy first judges if evolutionary adaptation of the network topologies is likely to occur in the present environment, and if it judges so, it actually tries to achieve evolutionary adaptation of the network topologies. Otherwise, it brings random change to the network topologies. The simulation results indicate that P-EP2P with the proposed strategy can better adapt the network topologies to the realistic environments. The main contribution of the study is to present such a promising way to realize an evolvable network in which the evolution direction is given by users. |
| format | Article |
| id | doaj-art-c7dda22a2c744786bd87a12fb7dee4ad |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-c7dda22a2c744786bd87a12fb7dee4ad2025-02-03T06:00:51ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322017-01-01201710.1155/2017/41691524169152Parallel Evolutionary Peer-to-Peer Networking in Realistic EnvironmentsKei Ohnishi0Graduate School of Computer Science and System Engineering, Kyushu Institute of Technology, Kawazu 680-4, Iizuka, Fukuoka 820-8502, JapanIn the present paper we first conduct simulations of the parallel evolutionary peer-to-peer (P2P) networking technique (referred to as P-EP2P) that we previously proposed using models of realistic environments to examine if P-EP2P is practical. Environments are here represented by what users have and want in the network, and P-EP2P adapts the P2P network topologies to the present environment in an evolutionary manner. The simulation results show that P-EP2P is hard to adapt the network topologies to some realistic environments. Then, based on the discussions of the results, we propose a strategy for better adaptability of P-EP2P to the realistic environments. The strategy first judges if evolutionary adaptation of the network topologies is likely to occur in the present environment, and if it judges so, it actually tries to achieve evolutionary adaptation of the network topologies. Otherwise, it brings random change to the network topologies. The simulation results indicate that P-EP2P with the proposed strategy can better adapt the network topologies to the realistic environments. The main contribution of the study is to present such a promising way to realize an evolvable network in which the evolution direction is given by users.http://dx.doi.org/10.1155/2017/4169152 |
| spellingShingle | Kei Ohnishi Parallel Evolutionary Peer-to-Peer Networking in Realistic Environments Applied Computational Intelligence and Soft Computing |
| title | Parallel Evolutionary Peer-to-Peer Networking in Realistic Environments |
| title_full | Parallel Evolutionary Peer-to-Peer Networking in Realistic Environments |
| title_fullStr | Parallel Evolutionary Peer-to-Peer Networking in Realistic Environments |
| title_full_unstemmed | Parallel Evolutionary Peer-to-Peer Networking in Realistic Environments |
| title_short | Parallel Evolutionary Peer-to-Peer Networking in Realistic Environments |
| title_sort | parallel evolutionary peer to peer networking in realistic environments |
| url | http://dx.doi.org/10.1155/2017/4169152 |
| work_keys_str_mv | AT keiohnishi parallelevolutionarypeertopeernetworkinginrealisticenvironments |