Self-optimized Cognitive Network of Networks

被引：8

作者：

Manzalini, A. ^{[1
]}

Deussen, P. H. ^{[2
]}

Nechifor, S. ^{[3
]}

Mamei, M. ^{[4
]}

Minerva, R. ^{[1
,5
]}

Moiso, C. ^{[1
]}

Salden, A. ^{[6
]}

Wauters, T. ^{[7
]}

Zambonelli, F. ^{[4
]}

机构：

[1] TELECOM ITALIA Future Ctr, I-10148 Turin, Italy

[2] FOKUS, D-10589 Berlin, Germany

[3] Siemens Program & Syst Engn SRL, Brasov, Romania

[4] Univ Modena & Reggio Emilia, I-42100 Reggio Emilia, Italy

[5] Inst TELECOM SudParis, F-91000 Evry, France

[6] Almende BV, NL-3016 DJ Rotterdam, Netherlands

[7] Univ Ghent, Dept Informat Technol INTEC, IBBT, B-9050 Ghent, Belgium

来源：

COMPUTER JOURNAL | 2011年 / 54卷 / 02期

关键词：

cognitive networking; self-management; autonomic; cross-layer; knowledge; network of networks;

D O I：

10.1093/comjnl/bxq032

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Future processing, storage and communication services will be highly pervasive: people, smart objects, machines and the surrounding space (all embedding devices such as with sensors, RFID tags etc.) will define a highly decentralized cyber environment of resources interconnected by dynamic networks of networks. As communications will extend to cover any combination of 'people, machines and things', future networks will be increasingly complex and heterogeneous, yet always endorsed with the challenging task of ensuring end-to-end QoS. This paper proposes the groundwork for an advanced cognitive networking paradigm exploitable in future wired and wireless infrastructures: a decentralized cognitive plane to allow for cross-layer, cross-node and cross-network domain self-management, self-control and self-optimization, while being compatible with legacy management and control systems.

引用

页码：189 / 196

页数：8

共 27 条

[1] End-to-End Reconfigurability (E2R) research perspectives [J].