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.
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.
KEYWORDS: Adaptive optics, Network architectures, Chemical elements, Optical networks, Networks, Signal attenuation, Time metrology, Thallium, Stochastic processes, Video compression
A model to realize load balance among multiple resources and multiple processing nodes and introduces the mechanism
into co-scheduler in Optical Grid resource Functional Architecture Model is brought forward and a multi-round linear
approximation of adaptive algorithm is proposed in this paper. We validate the algorithm with the experimental
researches. The result shows that the optimal load balance among the optical grid workers can be obtained.
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.
The main problem of aerial image classification is how to classify with robust and high precision at present. Therefore, a new approach of the aerial image classification based on the weighted Mean Shift is proposed in this paper. The kernel density function's local maximum is found by the weighted Mean Shift filter of pixels in feature space using resamplying strategy, and the neighborhood data points are shifted to the local maximum of the region, in which the same course is implemented repeatedly to all the pixels in image. Then the classification image is got by fusing each cluster region.
With the fast development of optical network technologies, for dealing with the shortcoming of the traditional grid based
on the Internet, it is considered to introduce the optical network resource as one of grid resources in the control and
management of grid. So the idea of optical grid was proposed. This paper analyzes the characteristics of optical grid
differing from traditional grid. And then we propose a new transmission scheme applied in optical grid---multi-path
transport scheme. We compare and analyze its performance in the optical grid. Eventually we draw the conclusions.
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