To delivery static contents, Content Delivery Networks (CDNs) are an effective solution, but that shows its limits in dynamic and large systems with centralized approach. Decentralized algorithms and protocols can be usefully employed to tackle this weakness. A biologically inspired algorithm to organize the contents in a Content Delivery Networks, is proposed in this paper. Mobile and bio-inspired agents move and logically reorganize the metadata that describe the contents to improve discovery operation. Experimental results confirm the efficacy of the self-organizing and decentralized algorithm.

Self-organizing contents

Forestiero;Agostino
2014

Abstract

To delivery static contents, Content Delivery Networks (CDNs) are an effective solution, but that shows its limits in dynamic and large systems with centralized approach. Decentralized algorithms and protocols can be usefully employed to tackle this weakness. A biologically inspired algorithm to organize the contents in a Content Delivery Networks, is proposed in this paper. Mobile and bio-inspired agents move and logically reorganize the metadata that describe the contents to improve discovery operation. Experimental results confirm the efficacy of the self-organizing and decentralized algorithm.
2014
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
9789897580277
Content delivery networks
Self-organizing agents
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/268196
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