Overlay data structures are a powerful mechanism to provide application components with context-information and to let them interact in dynamic-network scenarios like mobile ad-hoc networks and pervasive computing. These overlays can be propagated across a network in order to support components’ context awareness and coordination activities. We present a modeling framework and some autonomic algorithms to create overlay data structures that are able to self-maintain their intended distribution under a number of circumstances. The paper presents some experiments and performance measures to validate our approach and to show its scalability.
Self-Maintaining Overlay Data Structures for Pervasive Autonomic Services / Mamei, Marco; Zambonelli, Franco. - STAMPA. - 3996:(2006), pp. 58-72. (Intervento presentato al convegno 2nd IEEE International Workshop on Self-Managed Networks, Systems, and Services tenutosi a Dublin, irl nel JUN 16, 2006) [10.1007/11767886_5].
Self-Maintaining Overlay Data Structures for Pervasive Autonomic Services
MAMEI, Marco;ZAMBONELLI, Franco
2006
Abstract
Overlay data structures are a powerful mechanism to provide application components with context-information and to let them interact in dynamic-network scenarios like mobile ad-hoc networks and pervasive computing. These overlays can be propagated across a network in order to support components’ context awareness and coordination activities. We present a modeling framework and some autonomic algorithms to create overlay data structures that are able to self-maintain their intended distribution under a number of circumstances. The paper presents some experiments and performance measures to validate our approach and to show its scalability.
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