In data grid, using reservation is accepted to provide scheduling and service quality. Users need to have an access to the stored data in geographical environment, which can be solved by using replication, and an action taken to reach certainty. As a result, users are directed toward the nearest version to access information. The most important point is to know in which sites and distributed sy...

Data Grid provides sharing services for very large data around the world. Data replication is one of the most effective approaches to reduce access latency and response time. In addition to the benefits, replication has costs such as storage and bandwidth consumption, especially when storage space is low and limited. Therefore,  the data replacement should be done wisely. In this p...

This paper presents a method, which integrates image knowledge and LiDAR point cloud data for urban DEM and DBM (digital building model) generation. The DBM is an Object-Oriented data structure, in which the building is considered as an building class, i.e. an entity of the class, in which the attributes of each building include roof types, coordinates of polygon of the roof, height, surfaces, ...

In this paper we introduce an abstract data type for the distributed representation and eecient handling of sparse grids on parallel architectures. The new data layout, implemented by means of the PVM message passing library, provides partitioning and dynamic load balancing transparent to the application making use of it. This enables parallelization of sequential partial diierential equations ...

We show that the Lp( )-norm of the error in surface spline interpolation of a compactly supported function in the Sobolev space W 2m 2 decays like O( p) where p := minfm;m+ d=p d=2g and m is a parameter related to the smoothness of the surface spline. In case 1 p 2, the achieved rate of O( ) matches that of the error when the domain is all of R and the interpolation points form an in nite grid.

During the ESCOMPTE precampaign (summer 2000, over Southern France), a 3-day period of intensive observation (IOP0), associated with ozone peaks, has been simulated. The comprehensive RAMS model, version 4.3, coupled on-line with a chemical module including 29 species, is used to follow the chemistry of the polluted zone. This efficient but time consuming method can be used because the code is ...

[1] The value restored and added by dynamical downscaling is quantitatively evaluated by considering the spectral behavior of the Regional Atmospheric Modeling System (RAMS) in relation to its domain size and grid spacing. A regional climate model (RCM) simulation is compared with NCEP Reanalysis data regridded to the RAMS grid at each model analysis time for a set of six basic experiments. At ...