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Computing intensive applications are an important family of applications in distributed computing domain. They have been object of study using different distributed computing paradigms and infrastructures. Such applications distinguish for their demanding needs for CPU computing, independently of the amount of data associated with the problem instance. Among computing intensive applications, there...
We propose the development of a new e-Science infrastructure that would take the best of both grid and cloud technologies, and it would allow different research groups that perform nanoelectronic simulations to share their local clusters and create a common infrastructure accessible through a unified point of access. Therefore, more computational power can be used to perform nanoelectronic simulations,...
A fully calibrated three-dimensional hydrodynamic model, namely Curvilinear Hydrodynamics in 3-Dimensions (CH3D), has been developed to determine changes of flow velocity in a natural river. The objective of this paper is to present the application of the CH3D modeling. A grid scheme was constructed by using SMS software along an example river-the Detroit River from Lake St. Clair to Lake Erie with...
In terms of several new technologies, such as ubiquitous computing, ontology engineering, semantic web and grid computing, this paper proposes a kind of flexible educational platform architecture for Computer-Supported Collaborative Learning (CSCL). With data-intensive scientific workflows, it is promising to gain concept reusability, device and user adaptability, automatic composition, function and...
The use of meta-heuristics for designing efficient Grid schedulers is currently a common approach. One issue related to Grid based schedulers is their evaluation under different Grid configurations, such as dynamics of tasks and machines, task arrival, scheduling policies, etc. In this paper we present a web application that interfaces the final user with several meta-heuristics based Grid schedulers...
The SuperB experiment needs large samples of Monte-Carlo simulated events in order to finalize the detector design and to estimate the data analysis performances. This work describes the system we developed to manage the production of the required simulated events in a fully distributed environment. The distributed infrastructure includes several sites in Europe and North America and is based on Grid...
The burgeoning complexity of computer systems increases the role of middleware technologies in current researches. As a matter of fact, a middleware is the convergence point of progressing hardware and software engineering. In this paper, OSCI TLM-2.0, as a modeling standard for ESL design, is proposed for grid computing modeling that is one of the most important middleware technologies. Our study...
This paper describes a scalable parallel method for interferometric synthetic aperture radar (InSAR) raw data simulation on graphic processing unit (GPU) with common unified device architecture (CUDA). The advantages of the new method rely on the three contributions: GPU hardware provides lots of stream processors for threads calculating, CUDA software environment runs thousands of threads working...
In this paper we evaluate performance of three different site allocation policies in a 2-level computational grid with heterogeneous sites. We consider that schedulers are aware of service demands of jobs which show high variability. A simulation model is used to evaluate performance in terms of the average response time and slowdown, under medium and high load. Simulation results show that the proposed...
Firstly, the paper concisely introduces the research background of a new kind of networked modeling and simulation (M&S) platform based on the virtualization technology namely Virtualization-based Simulation Grid. Then its connotation and the architecture of platform prototype are presented. Furthermore, some solved key techniques and some typical applications developed by authors are introduced,...
In a distributed system, gang scheduled parallel jobs are considered as an efficient way of scheduling frequently communicating parallel jobs. This paper studies the performance of scheduling strategies in the case of gangs which are dynamically generated based on precedence constraints with formerly executed gangs. The formation of a secondary gang upon the execution of a preceding gang can be necessary...
Computational grids allow users to share resources of distributed machines, even if those machines belong to different corporations. The scheduling of applications must be performed aiming at performance goals, and focusing on choose which processes can have access to specif resources, and which resources. In this article we discuss aspects of scheduling of application in grid computing environment...
Many computing-intensive applications in different domains are benefiting from new High Performance Computing (HPC) architectures such as clusters and computational grids. This experimental study shows the performance results of parallelizing a computing-intensive risk management financial simulator application using the Message Passing Interface (MPI) and running it on two configurations of a dedicated...
From the overall performance of simulation grid system, it aimed on that how to determine balance load include mission and traffic, according to analysis relevant performance parameters which related to the bottom of the grid physical resources and the federate application. It is provided that the performance assessment methods with simulation grid system based on grey cluster and not only to prevent...
Computer simulation is an important factor in today's disaster prevention procedures. Simulation codes assess the evolution and impact of various physical phenomena in domains such as nuclear and environmental sciences, and ultimately help saving lives. However, new and more computationally demanding models, and new regulations for personnel training have increased the demand for computational power...
The plasma membrane protects a cell and even though it is only about 10nm thick it is an incredibly complex and crowded environment, with ensembles of channels, membrane and trans-membrane proteins and microdomains. Hence modelling transport and dynamical processes on the plasma membrane is computationally demanding and in order for a simulation to model an entire cell membrane for several real-time...
Because of highly dynamics, openness and autonomy of grid, effective access control mechanism is required to guarantee secure resource sharing on it. To resolve such problem, reputation and risk are formalized based on cloud model theory in this paper firstly. Subsequently, risk-aware reputation inference, combination and evolvement algorithms are designed respectively. Simulation results show higher...
In order to solve the problem of collaboration and resource sharing of spatial database, this paper combines with the collaboration and resource sharing idea of grid computing, through analyzing the characteristics of grid and spatial database, the author establishes the spatial database model initially in grid environment , studies the spatial data processing operations performance in grid environment...
The master/worker (MW) paradigm can be used to implement parallel discrete event simulations (PDES) on metacomputing systems. MW PDES applications incur overheads not found in conventional PDES executions executing on tightly coupled machines. We introduce four techniques for reducing these overheads on public resource and desktop grid infrastructures Work unit caching, pipelined state updates, expedited...
This paper researches on the machining simulation of the multi-axis numerical control (NC) system, and proposes a new algorithm of intersection calculation and collision detection based on Three Dimensions Grid Representation (TDGR). The suggested algorithm is applied for the simulation system of the LT-NC310 system, whose data communications between simulation and task controller are completed by...
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