Abstract
A centralized network control and management plane, such as the one based on a
path computation element (PCE), is highly beneficial in terms of resource optimization
in wavelength division multiplexing optical networks. Benefits of centralized
provisioning are even more evident when connection requests are provisioned in batches,
i.e., they allow a better use of network resources via concurrent optimization. In this
study, a dynamic bulk provisioning framework is presented with the objective of
optimizing the use of network resources that also presents, as an additional benefit,
the ability to yield a reduction of the control plane overhead. The rationale behind the
proposed framework is based on a mechanism in which the PCE client is allowed to bundle
and simultaneously send multiple labeled switch path (LSP) requests to the PCE where, in
turn, several bundles can be concurrently processed together as a single bulk. From the
network deployment perspective, a PCE-based network architecture is proposed to
practically realize this approach. For dynamic bulk provisioning of optical LSP
requests, a time-efficient integer linear programming (ILP) model (LSP_BP_ILP) is
presented to minimize the request blocking, the network resource consumption, and the
network congestion. In addition, a heuristic based on a greedy randomized adaptive
search procedure (GRASP), namely LSP_BP_GRASP, is also proposed as a scalable
alternative. The presented results demonstrate significant advantages of the proposed
PCE bulk provisioning framework based on concurrent optimization in terms of reduced
blocking probability and control overhead when compared with conventional dynamic
connection provisioning approaches processing a single connection request at a
time.
© 2012 IEEE
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