D
Diego Lucerna
Researcher at Polytechnic University of Milan
Publications - 13
Citations - 132
Diego Lucerna is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Service-level agreement & Service provider. The author has an hindex of 8, co-authored 13 publications receiving 125 citations. Previous affiliations of Diego Lucerna include Huawei.
Papers
More filters
Proceedings ArticleDOI
Improving Efficiency of Backup Reprovisioning in WDM Networks
TL;DR: It is shown that it is possible to further reduce the capacity requirements of backup reprovisioning techniques exploiting the knowledge, among the other service level specifications (SLS), of the connection holding-time.
Journal ArticleDOI
Multilayer Protection with Availability Guarantees in Optical WDM Networks
TL;DR: New multilayer routing strategies that perform effective availability-guaranteed grooming of sub-wavelength connections are proposed that are developed under two different practical hypotheses: guaranteed target, i.e., a connection is routed only if its availability target is satisfied, and best-effort target, a connected is always routed and the path with the best possible availability is provisioned.
Proceedings ArticleDOI
On the Efficiency of a Game Theoretic Approach to Sparse Regenerator Placement in WDM Networks
TL;DR: A game-theoretic approach is proposed to model RPP as a non-cooperative game and solve it applying the best response dynamic concept and the performance of the proposed approach is evaluated in terms of closeness of the obtained results to these provided by ILP.
Proceedings ArticleDOI
Dynamic SLA Redefinition for Shared-Path-Protected Connections with Known Duration
TL;DR: This work proposes to exploit the holding time of a connection to re(de)fine the customer's availability targets and achieve significant reduction in blocking probability in a WDM mesh network with shared-path protection.
Proceedings ArticleDOI
Dynamic Routing of Connections with Known Duration in WDM Networks
TL;DR: This paper introduces a time-dependent link-weight assignment that evaluates future link congestions probability based on the transient analysis of the Markovian model of the link, making it computationally feasible by means of an effective approximation technique.