Among the adaptive-grid methods, redistribution and embedding techniques have been the focus of more attention by researchers. Simultaneous or combined adaptive techniques have also been used. This paper describes a combination of adaptive-grid embedding and redistribution methods on semi-structured grids for two-dimensional invisid flows. Since the grid is semi-structured, it is possible to us...

Wind Energy Conversion System (WECS) based on Doubly Fed Induction Generator (DFIG) connected to the grid is subjected to high transient currents at rotor side and rise in DC-link voltage during voltage sag at stator/grid side. To secure power system operation wind turbines have to meet grid requirements through the Low voltage ride through (LVRT) capability and contribute to grid voltage contr...

Workload and resource management are two essential functions provided at the service level of the grid software infrastructure. To improve the global throughput of these software environments, workloads have to be evenly scheduled among the available resources. To realize this goal several load balancing strategies and algorithms have been proposed. Most strategies were developed in mind, assum...

In this paper, we evaluate message-passing applications in Grid environments using domain decomposition technique. We compare two domain decomposition strategies: a balanced and unbalanced one. The balanced strategy is commonly strategy used in homogenous computing environment. This strategy presents some problems related with the larger communication latency in Grid environments. We propose an...

Efficient scheduling algorithm is required to use the grid resources properly. List scheduling heuristic algorithms are to schedule the application programs and produces sub optimal solutions. An evolutionary based scheduling algorithm will produce an optimal solution. The proposed algorithm, namely, “Grid Scheduling Strategy using GA” (GSSGA) adopts the genetic algorithm to solve the dependent...

Efficient solution of the very large linear systems that arise in numerical modelling of real-world applications is often only possible through the use of multilevel techniques. While highly optimized algorithms may be developed using knowledge about the origins of the matrix problem to be considered, much recent interest has been in the development of purely algebraic approaches that may be ap...

This paper presents a distributed model that is in operational use for forecasting flash floods in northern Austria. The main challenge in developing the model was parameter identification which was addressed by a modelling strategy that involved a model structure defined at the model element scale and multi-source model identification. The model represents runoff generation on a grid basis and...

Grid computing utilizes distributed heterogeneous resources to support large-scale or complicated computing tasks, and an appropriate resource scheduling algorithm is fundamentally important for the success of Grid applications. Due to the complex and dynamic properties of Grid environments, traditional model-basedmethodsmay result in poor scheduling performance in practice. Scalability and ada...

Observations of the Caspian Sea during August-September 1995 are used to develop a three-dimensional numerical model to be used in calculating temperature and current. The model has variable grid resolution and horizontal smoothing that filters out small scale vertical motion. Data from the meteorological buoy network on the Caspian Sea are combined with routine observations at first-order syno...