Medium Size Enterprise ventures into IT are dragged by financial, expertise, economies of scales plus the unfavourable market uncertainty with unsettling innovation with vanishing competitiveness towards infrastructur...
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ISBN:
(纸本)9788993215199
Medium Size Enterprise ventures into IT are dragged by financial, expertise, economies of scales plus the unfavourable market uncertainty with unsettling innovation with vanishing competitiveness towards infrastructure optimization. This mixed-method using survey, interview and focus group with dual data test-retest sequential design approach minimises grey perspectives and conclusions. The findings revealed the shocking fact that a third of total investments in IT were categorised as the unproductive ventures, playing catch-up among the industry competitors while leaving most equipment under-utilized and questionable commercial visibilities while the enterprise bleeds. The utilization of BOINC freeware grid computing centralized processing and storage features been used to improve the enterprise's efficiency by enhancing positive financials in the enterprises via enabling better inter-department work coordination hence improving user satisfaction and stronger brand recognition. The contribution of the study proposed a flexible organic IT infrastructure that will upsize or downsize along with the business performance.
Recent turbulences in financial markets are not only a challenge for the actors in the front offices of the related institutions, but also represent a serious challenge for the IT departments in the back offices of ba...
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Recent turbulences in financial markets are not only a challenge for the actors in the front offices of the related institutions, but also represent a serious challenge for the IT departments in the back offices of banks etc. We present a simulation model that shows how grid computing increases the resilience and quality-of-service of IT infrastructure in departmentalized enterprises in the presence of shocks. grid computing also reduces the costs deriving from the cancellation of jobs in times with a high volatility of computational load The model can be used to find the appropriate type of IT infrastructure for different financial service institutions. Our simulations' findings are also likely to encourage the introduction of grid computing for related business branches and applications.
The solution of complex global challenges in the land system, such as food and energy security, requires information on the management of agricultural systems at a high spatial and temporal resolution over continental...
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The solution of complex global challenges in the land system, such as food and energy security, requires information on the management of agricultural systems at a high spatial and temporal resolution over continental or global extents. However, computing capacity remains a barrier to large-scale, high-resolution agricultural modeling. To model wheat production, soil carbon, and nitrogen dynamics in Australia's cropping regions at a high resolution, we developed a hybrid computing approach combining parallel processing and grid computing. The hybrid approach distributes tasks across a heterogeneous grid computing pool and fully utilizes all the resources of computers within the pool. We simulated 325 management scenarios (nitrogen application rates and stubble management) at a daily time step over 122 years, for 12,707 climate-soil zones using the Windows-based Agricultural Production Systems SIMulator (APSIM). These simulations would have taken over 30 years on a single computer. Our hybrid high performance computing (HPC) approach completed the modeling within 10.5 days-a speed-up of over 1000 times-with most jobs finishing within the first few days. The approach utilizes existing idle organization-wide computing resources and eliminates the need to translate Windows-based models to other operating systems for implementation on computing clusters. There are however, numerous computing challenges that need to be addressed for the effective use of these techniques and there remain several potential areas for further performance improvement. The results demonstrate the effectiveness of the approach in making high-resolution modeling of agricultural systems possible over continental and global scales. (c) 2012 Elsevier Ltd. All rights reserved.
Over decades, since the invention of the first computers, hardware and software have been created or modified to follow the increasing complexity of scientific and engineering problems. However, since there is always ...
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ISBN:
(纸本)9781905088294
Over decades, since the invention of the first computers, hardware and software have been created or modified to follow the increasing complexity of scientific and engineering problems. However, since there is always a limit to the performance of a workstation, server or even a local parallel machine, programs can bypass these limitations by using remote resources with greater computational power. grid computing is one of the most recent developments of computer science which allows engineers and scientists the remote use of geographically distributed heterogeneous resources such as high performance computers and supercomputers. This emergent paradigm makes possible to create a network of shared hardware and software through the Internet, owned and maintained by different organizations. Such computing infrastructure enables to solve a wide variety of problems that could not be addressed in a local environment. An well-known example of use of distributed computing power is SETI@home, a scientific experiment where worldwide home computers connected to the Internet are used to analyze radio telescope data in the Search for Extraterrestrial Intelligence. The same approach is used by the BBC Climate Change Experiment that gathers the processing power of thousands of home and office computers around the world to predict climate changes. The simulation of the flow of blood through human arteries, the effect of shock waves propagation in earthquakes and the gravitational effects of black hole collisions are also examples of grid enabled scientific applications. This paper introduces gridSolve, a software tool for grid computing developed at the Innovative computing Laboratory of the University of Tennessee and presents its use in the implementation of engineering codes on this new environment. Since this technology is not widespread among engineering developers, the authors present this technique applied to a well-known Fortran program for the solution of two-dimensional el
In this paper the authors present the porting of some Finite Element procedures appositely developed to analyze TWT helix slow-wave structure to the distributed computing environment grid.
ISBN:
(纸本)9781424435005
In this paper the authors present the porting of some Finite Element procedures appositely developed to analyze TWT helix slow-wave structure to the distributed computing environment grid.
In this paper we present and discuss an architecture that allows transparent access to remote supercomputing facilities from a web gateway. The implementation exploits the Globus toolkit and provides users with fast, ...
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ISBN:
(纸本)3540675531
In this paper we present and discuss an architecture that allows transparent access to remote supercomputing facilities from a web gateway. The implementation exploits the Globus toolkit and provides users with fast, secure and reliable access to parallel applications. We show the usefulness of our approach in the context of Digital Puglia, an active digital library of remote sensing digital data.
Computational modeling in the health sciences is still very challenging and much of the success has been despite the difficulties involved in integrating all of the technologies, software, and other tools necessary to...
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Computational modeling in the health sciences is still very challenging and much of the success has been despite the difficulties involved in integrating all of the technologies, software, and other tools necessary to answer complex questions. Very large-scale problems are open to questions of spatio-temporal scale, and whether physico-chemical complexity is matched by biological complexity. For example, for many reasons, many large-scale biomedical computations today still tend to use rather simplified physics/chemistry compared with the state of knowledge of the actual biology/biochemistry. The ability to invoke modern grid technologies offers the ability to create new paradigms for computing, enabling access of resources which facilitate spanning the biological scale.
The artificial bee colony has the advantage of employing fewer control parameters compared with other population-based optimization algorithms. In this paper a binary artificial bee colony (BABC) algorithm is develope...
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The artificial bee colony has the advantage of employing fewer control parameters compared with other population-based optimization algorithms. In this paper a binary artificial bee colony (BABC) algorithm is developed for binary integer job scheduling problems in grid computing. We further propose an efficient binary artificial bee colony extension of BABC that incorporates a flexible ranking strategy (FRS) to improve the balance between exploration and exploitation. The FRS is introduced to generate and use new solutions for diversified search in early generations and to speed up convergence in latter generations. Two variants are introduced to minimize the makepsan. In the first a fixed number of best solutions is employed with the FRS while in the second the number of the best solutions is reduced with each new generation. Simulation results for benchmark job scheduling problems show that the performance of our proposed methods is better than those alternatives such as genetic algorithms, simulated annealing and particle swarm optimization.
Fusion energy is the next generation of energy. Plasma confinement is part of the program to develop fusion energy, so many investigations have been performed on it. grid computing is currently focused on scientific p...
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ISBN:
(纸本)9780769530895
Fusion energy is the next generation of energy. Plasma confinement is part of the program to develop fusion energy, so many investigations have been performed on it. grid computing is currently focused on scientific problems like fusion energy or climate. Using grid computing many of these problems, with high computational costs, can be simulated and optimized before implementing special devices. High number of tests can be performed using grid computing in the same time that a single test on a single machine, so researchers can obtain better results in less time than using traditional techniques. In this paper, we present our first steps in grid computing applied into fusion energy, being the starting point to analyse and optimize the configuration of a device for plasma confinement based on the transport inside the device. Finally we propose some goals to use the current work in future investigations.
In this study, a computational framework combining state-of-the-art cardiac simulation software and grid computing is used to investigate the impact of the block of the HERG current on the ECG waveform using state-of-...
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ISBN:
(纸本)9781424472819
In this study, a computational framework combining state-of-the-art cardiac simulation software and grid computing is used to investigate the impact of the block of the HERG current on the ECG waveform using state-of-the-art 3D ventricular models of electrophysiology. The technology developed enables (i) automated parameter sweeping using multiscale models (from ion channel to ECG) and (ii) reduced execution time of the simulations performed.
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