Geographically-distributed computing application for science and enterprise are emerging services for providers, and the
optical network is expected to be involved in such the grid computing application by using GMPLS protocols for its high
performance. In the optical grid network, network delay and fault recovery time are very important for some special
distributed application. However, bandwidth guarantee and dynamic bandwidth provisioning are achieved by the cost of
LSP setup delay. In this paper, a parallel GMPLS-based signaling method is proposed to decrease the connection setup
time effectively so as to provide fast dynamic bandwidth for grid applications. We implement this novel method on our
optical grid network test-bed (GOGrid) and draw the conclusions.
As the technologies in optical network evolve and develop, it is considered to control and manage the optical network
resources as one of grid resources to overcome the shortcoming of traditional grid. This paper proposes a novel
architecture for data-intensive transfer applications in optical grid network within the OGSA (Open Grid Service
Architecture) context, which encapsulates optical network resource into grid service and provides fast, reliable data
transfer service in multi-path mode. The architecture enabled to transport data in multi-path mode is implemented and
verified in the optical grid testbed. The experimental results indicate data transfer service in multi-path mode is quite
feasible and the multi-path mode from multiple sources to one destination is the most effective way for transporting large
data file, which makes full use of underlying optical network.
The hierarchical multicast routing architecture in intelligent optical networks is investigated in this paper, the two
methods of inter-domain information aggregation are given, and two hierarchical multicast routing algorithms are
proposed. Their impacts on network performance in terms of blocking probability are evaluated by the simulations in
different network models.
Gird Optical Network Service (GONS) integrates optical networks with Gird services to utilize their numerous benefits.
A flexible and simple user network interface between GONS and GMPLS control plane is proposed and its effectivity is
verified on the Parallel Lightpath-on-Demand Grid testbed.
A service provisioning model in optical grid for distributed computing is proposed, in which grid application resource
and optical network resource are regarded as peer entities, and they are abstracted and encapsulated to provide the
controllable and sharable service. The resource scheduling in optical grid is investigated, and a minimum cost algorithm
to co-schedule the resources is presented. The algorithm co-schedules grid application resource and optical network
resource to minimize the cost to perform the job. The simulation results show that the minimum cost algorithm can co-optimize
usages of grid application resource and optical network resource and decrease the blocking probability of grid
system.
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