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Information-centric networking (ICN) facilitates content identification innetworks and offers parametric representation of content semantics. This work,proposes an ICN/WDM network architecture that uses these features to offersuperior network utilization, in terms of performance and power consumption.The architecture introduces an ICN publish/subscribe communication approach tothe wavelength layer, whereby, content is aggregated according to itspopularity rank into wavelength-size groups that can be published and"subscribed to" by multiple nodes. Consequently, routing and wavelengthassignment (RWA) algorithms benefit from anycast to identify multiple sourcesof aggregate content and allow optimization of the source selection oflight-paths. A power-aware algorithm, Maximum Degree of connectivity (MaxDeg),has been developed with the objective of exploiting this flexibility to addressthe trade-off between power consumption and network performance. The algorithmis also applicable to IP architectures, albeit with less flexibility.Evaluation results indicate the superiority of the proposed ICN architecture,even when utilizing conventional routing methods, compared to its IPcounterpart. The results further highlight the performance improvement achievedby the proposed algorithm, compared to conventional RWA methods such asShortest-path First Fit (SFF).

Information-centric Multilayer Networking: improving performance through an ICN/WDM architecture