In this paper, we develop an efficient partitioning scheme for a grid environment to increase performance by measuring the characteristics of the data. We design a model that simulates a real life distributed grid environment, and test this model against a synthetic data set. We use public information about the distribution of U.S. zip codes and last names to make an effective partitioning sche...

Mobile database applications through wireless equipments e.g., PDAs, laptops, cell phones and etc. are growing rapidly. In such environment, clients, servers and object may change their locations. A very applicable class of query is continuous k-NN query which continuously returns the k nearest objects to the current location of the requester. Respect to limitations in mobile environments, it i...

This whitepaper describes the load-balancing performance issues that are observed and tackled during the petascaling of a space plasma simulation code developed at the Finnish Meteorological Institute (FMI). It models the communication pattern as a hypergraph, and partitions the computational grid using the parallel hypergraph partitioning scheme (PHG) of the Zoltan partitioning framework. The ...

in the past few decades, increasing growth of wind power plants causes different problems for the power quality in the grid. normal and transient impacts of these units on the power grid clearly indicate the need to improve the quality of the electricity generated by them in the design of such systems. improving the efficiency of the large-scale wind system is dependent on the control parameter...

A bi-directional power exchange between the plug-in electric vehicle (PEV) and AC electrical grid is necessary to perform Vehicle Grid (V2G) (G2V) operations. While performing these operations, different converters controllers play an important role as mediators PEV grid. Various works have demonstrated utilization of for PEV’s battery management. However, existing conventional technical shortc...

The microgrid is a group of smaller renewable energy sources (REs), which act in coordinated manner to provide the required amount active power and additional services when required. This article proposes management for with integration solar PV plants maximum point tracking (MPPT) enhance generation conversion using hybrid MPPT method based on particle swarm optimization-adaptive neuro-fuzzy i...

Parallel structured adaptive mesh refinement methods decrease the execution time and memory requirements of partial differential equation solvers. These methods result in an adaptive and dynamic grid hierarchy that repeatedly needs to be re-partitioned and distributed over the processors. No single partitioning algorithm can consistently construct high-quality partitionings for all possible gri...

More and more vector-based cellular automata (VCA) models have been built to leverage parallel computing to model rapidly changing cities and urban regions. During parallel simulation, common task decomposition methods based on space partitioning, e.g., grid partitioning (GRID) and recursive binary space partitioning (BSP), do not work well given the heterogeneity of VCA parcel tasks. In this p...

rainfall-runoff is one of complex hydrological processes that is affected by a variety of physical and hydrological factors. in this study statistical method armax model, neural network, neuro-fuzzy (anfis subtractive clustering and grid partition) and two hybrid models of this methods were used to simulate rainfall-runoff and prediction of streamflow. in each method optimum structure was deter...