Scalable dimensioning of optical transport networks for grid excess load handling

Scalable dimensioning of optical transport networks for grid excess load handling Grids consist of the aggregation of numerous dispersed computational and storage resources, able to satisfy even the most demanding computing jobs. An important aspect of Grid deployment is the allocation and activation of installed network capacity, needed to transfer data and jobs to and from remote resources. Due to the data-intensive nature of Grid jobs, it is expected that optical transport networks will play an important role in Grid deployment. As Grids possibly consist of high numbers of resources, and users, solving the network dimensioning problem (i.e. determining the number of wavelength channels per fiber and wavelength granularity required) using straightforward Integer Linear Programs (ILP) does not scale well with increasing number of jobs. Therefore, we propose the use of Divisible Load Theory (DLT) when modeling the OCS (with wavelength translation) dimensioning problem in this context. We compare this approach to both an exact ILP and heuristic (derived from the exact ILP) approach as a function of the job arrival process, network related parameters and the Grid job scheduling strategy on the Grid. Results show the convergence of the DLT-based and the exact ILP approach, which indicates that the DLT-based approach is of practical use in cases where the exact ILP-based problem becomes intractable. We study an excess load scenario and evaluate the network cost for varying wavelength granularity, fiber/wavelength cost models, network topology and traffic demand asymmetry under multiple Grid scheduling strategies. Results indicate the suitability of our DLT-based approach as an Optical Transport Network dimensioning tool to be used by network operators. Photonic Network Communications Springer Journals

Scalable dimensioning of optical transport networks for grid excess load handling

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Kluwer Academic Publishers-Plenum Publishers
Copyright © 2006 by Springer Science+Business Media, LLC
Computer Science; Computer Communication Networks; Electrical Engineering; Characterization and Evaluation of Materials
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