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Articoli di riviste sul tema "Computational grids (Computer systems)"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 1 agosto 2024

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1

Jie, Wei, Tianyi Zang, Terence Hung, Stephen J. Turner, and Wentong Cai. "Information Management for Computational Grids." International Journal of Web Services Research 2, no. 3 (July 2005): 69–82. http://dx.doi.org/10.4018/jwsr.2005070103.

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2

Morozov, Alexander Yu, and Dmitry L. Reviznikov. "Adaptive Sparse Grids with Nonlinear Basis in Interval Problems for Dynamical Systems." Computation 11, no. 8 (August 1, 2023): 149. http://dx.doi.org/10.3390/computation11080149.

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Problems with interval uncertainties arise in many applied fields. The authors have earlier developed, tested, and proved an adaptive interpolation algorithm for solving this class of problems. The algorithm’s idea consists of constructing a piecewise polynomial function that interpolates the dependence of the problem solution on point values of interval parameters. The classical version of the algorithm uses polynomial full grid interpolation and, with a large number of uncertainties, the algorithm becomes difficult to apply due to the exponential growth of computational costs. Sparse grid in

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3

PREVE, NIKOLAOS P., and EMMANUEL N. PROTONOTARIOS. "MONTE CARLO SIMULATION ON COMPUTATIONAL FINANCE FOR GRID COMPUTING." International Journal of Modeling, Simulation, and Scientific Computing 03, no. 03 (May 17, 2012): 1250010. http://dx.doi.org/10.1142/s1793962312500109.

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Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. Monte Carlo methods are often used in simulating complex systems. Because of their reliance on repeated computation of random or pseudo-random numbers, these methods are most suited to calculation by a computer and tend to be used when it is infeasible or impossible to compute an exact result with a deterministic algorithm. In finance, Monte Carlo simulation method is used to calculate the value of companies, to evaluate economic investments and financial derivatives. On

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4

ARNOLD, DORIAN C., SATHISH S. VAHDIYAR, and JACK J. DONGARRA. "ON THE CONVERGENCE OF COMPUTATIONAL AND DATA GRIDS." Parallel Processing Letters 11, no. 02n03 (June 2001): 187–202. http://dx.doi.org/10.1142/s012962640100052x.

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Great advances in high-performance computing have given rise to scientific applications that place large demands on software and hardware infrastructures for both computational and data services. With these trends the necessity has emerged for distributed systems developers that once distinguished between these elements to acknowledge that indeed computational and data services are tightly coupled and need to be addressed simultaneously. In this article, we compile and discuss several strategies and techniques, like co-scheduling and co-allocation of computational and data services, dynamic st

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Morozov, Alexander Yu, Andrey A. Zhuravlev, and Dmitry L. Reviznikov. "Sparse Grid Adaptive Interpolation in Problems of Modeling Dynamic Systems with Interval Parameters." Mathematics 9, no. 4 (February 3, 2021): 298. http://dx.doi.org/10.3390/math9040298.

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The paper is concerned with the issues of modeling dynamic systems with interval parameters. In previous works, the authors proposed an adaptive interpolation algorithm for solving interval problems; the essence of the algorithm is the dynamic construction of a piecewise polynomial function that interpolates the solution of the problem with a given accuracy. The main problem of applying the algorithm is related to the curse of dimension, i.e., exponential complexity relative to the number of interval uncertainties in parameters. The main objective of this work is to apply the previously propos

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6

Huang, Sili, Eric Aubanel, and Virendrakumar C. Bhavsar. "PaGrid: A Mesh Partitioner for Computational Grids." Journal of Grid Computing 4, no. 1 (February 1, 2006): 71–88. http://dx.doi.org/10.1007/s10723-005-9018-0.

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7

Jakóbik (Krok), Agnieszka, Daniel Grzonka, Joanna Kołodziej, Adriana E. Chis, and Horacio Gonzalez- ´Velez. "Energy Efficient Scheduling Methods for Computational Grids and Clouds." Journal of Telecommunications and Information Technology, no. 1 (March 30, 2017): 56–64. http://dx.doi.org/10.26636/jtit.2017.1.651.

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This paper presents an overview of techniques developed to improve energy efficiency of grid and cloud computing. Power consumption models and energy usage proles are presented together with energy efficiency measuring methods. Modeling of computing dynamics is discussed from the viewpoint of system identication theory, indicating basic experiment design problems and challenges. Novel approaches to cluster and network-wide energy usage optimization are surveyed, including multi-level power and software control systems, energy-aware task scheduling, resource allocation algorithms and frameworks

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8

Wei, Guiyi, Yun Ling, Athanasios V. Vasilakos, Bin Xiao, and Yao Zheng. "PIVOT: An adaptive information discovery framework for computational grids." Information Sciences 180, no. 23 (December 2010): 4543–56. http://dx.doi.org/10.1016/j.ins.2010.07.022.

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9

Chmaj, Grzegorz, Krzysztof Walkowiak, Michał Tarnawski, and Michał Kucharzak. "Heuristic algorithms for optimization of task allocation and result distribution in peer-to-peer computing systems." International Journal of Applied Mathematics and Computer Science 22, no. 3 (September 1, 2012): 733–48. http://dx.doi.org/10.2478/v10006-012-0055-0.

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Abstract Recently, distributed computing system have been gaining much attention due to a growing demand for various kinds of effective computations in both industry and academia. In this paper, we focus on Peer-to-Peer (P2P) computing systems, also called public-resource computing systems or global computing systems. P2P computing systems, contrary to grids, use personal computers and other relatively simple electronic equipment (e.g., the PlayStation console) to process sophisticated computational projects. A significant example of the P2P computing idea is the BOINC (Berkeley Open Infrastru

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10

José da Silva, Diego, Edmarcio Antonio Belati, and Eduardo Werley Silva dos Angelos. "FPAES: A Hybrid Approach for the Optimal Placement and Sizing of Reactive Compensation in Distribution Grids." Energies 13, no. 23 (December 4, 2020): 6409. http://dx.doi.org/10.3390/en13236409.

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Reactive power compensation with Capacitor Banks (CBs) is one of the most successful approaches used in distribution systems, mainly due to their versatility, long-term acceptance in the power industry, and reduced costs. Most allocation methods, however, lack specific strategies to handle the limited discrete nature of CBs sizes seeking to improve the overall optimization and computational performance. We present an algorithm for the Optimal Placement of Capacitor Banks (OPCB) in distribution systems by means of a hybrid Flower Pollination Algorithm (FPA)–Exhaustive Search (ES) approach. The

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11

Röhlig, Martin, Ruby Kala Prakasam, Jörg Stüwe, Christoph Schmidt, Oliver Stachs, and Heidrun Schumann. "Enhanced Grid-Based Visual Analysis of Retinal Layer Thickness with Optical Coherence Tomography." Information 10, no. 9 (August 23, 2019): 266. http://dx.doi.org/10.3390/info10090266.

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Optical coherence tomography enables high-resolution 3D imaging of retinal layers in the human eye. The thickness of the layers is commonly assessed to understand a variety of retinal and systemic disorders. Yet, the thickness data are complex and currently need to be considerably reduced prior to further processing and analysis. This leads to a loss of information on localized variations in thickness, which is important for early detection of certain retinal diseases. We propose an enhanced grid-based reduction and exploration of retinal thickness data. Alternative grids are computed, their r

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12

Xu, Lin, Yong-Hong Tang, Wei Pu, and Yang Han. "Hybrid electromechanical-electromagnetic simulation to SVC controller based on ADPSS platform." Journal of Energy in Southern Africa 25, no. 4 (December 19, 2014): 112–22. http://dx.doi.org/10.17159/2413-3051/2014/v25i4a2244.

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To test the dynamic performance and damping features of a static var compensator (SVC) controller accurately in large-scale interconnected AC/DC hybrid power systems, it is of vital significance to build the detailed electromagnetic transient model. However, it is unrealistic and time-consuming to build the detailed models of all the devices in the actual large-scale power grid. Utilizing the hybrid simulation function in the advanced digital power system simulator (ADPSS) and by dividing the large-scale power grid into the electromagnetic transient sub-grids and electromechanical sub-grids, t

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13

Ganzha, Victor G., and Evgenii V. Vorozhtsov. "Application of Computer Algebra Systems for Stability Analysis of Difference Schemes on Curvilinear Grids." Journal of Symbolic Computation 28, no. 3 (September 1999): 401–33. http://dx.doi.org/10.1006/jsco.1999.0289.

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Collignon, Tijmen, and Martin Van Gijzen. "Two implementations of the preconditioned conjugate gradient method on heterogeneous computing grids." International Journal of Applied Mathematics and Computer Science 20, no. 1 (March 1, 2010): 109–21. http://dx.doi.org/10.2478/v10006-010-0008-4.

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Two implementations of the preconditioned conjugate gradient method on heterogeneous computing gridsEfficient iterative solution of large linear systems on grid computers is a complex problem. The induced heterogeneity and volatile nature of the aggregated computational resources present numerous algorithmic challenges. This paper describes a case study regarding iterative solution of large sparse linear systems on grid computers within the software constraints of the grid middleware GridSolve and within the algorithmic constraints of preconditioned Conjugate Gradient (CG) type methods. We ide

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15

Darwish, M., H. Diab, and F. Moukalled. "An Educational Two-Dimensional Interactive Dynamic Grid Generator." International Journal of Mechanical Engineering Education 24, no. 4 (October 1996): 279–90. http://dx.doi.org/10.1177/030641909602400406.

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This paper describes IDGG, an Interactive Dynamic Grid Generator, for use as an educational tool by students studying computational fluid dynamics. The package is a Windows applications and runs on IBM PC, or compatible, computers. It is written in Pascal and built using object-oriented programming. The computer program allows the user to generate boundary-fitted curvilinear grids in any two-dimensional domain. The procedure adopted requires the user to perform the transformation step by step allowing him/her to easily grasp the concept of boundary-fitted coordinate systems. In addition, IDGG

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16

Ma, Tianlong, Lin Zhang, Fujun Cao, and Yongbin Ge. "A Special Multigrid Strategy on Non-Uniform Grids for Solving 3D Convection–Diffusion Problems with Boundary/Interior Layers." Symmetry 13, no. 7 (June 24, 2021): 1123. http://dx.doi.org/10.3390/sym13071123.

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Boundary or interior layer problems of high-dimensional convection–diffusion equations have distinct asymmetry. Consequently, computational grid distributions and linear algebraic systems arising from finite difference schemes for them are also asymmetric. Numerical solutions for these kinds of problems are more complicated than those symmetric problems. In this paper, we extended our previous work on the partial semi-coarsening multigrid method combined with the high-order compact (HOC) difference scheme for solving the two-dimensional (2D) convection–diffusion problems on non-uniform grids t

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17

Wang, Lizhe, Dan Chen, Ze Deng, and Fang Huang. "Large scale distributed visualization on computational Grids: A review." Computers & Electrical Engineering 37, no. 4 (July 2011): 403–16. http://dx.doi.org/10.1016/j.compeleceng.2011.05.010.

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18

Tafani, Daniele, Burak Kantarci, Hussein T. Mouftah, Conor McArdle, and Liam P. Barry. "A distributed framework for energy-efficient lightpaths in computational grids." Journal of High Speed Networks 19, no. 1 (2013): 1–18. http://dx.doi.org/10.3233/jhs-130457.

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19

Chen, Uei-Ren, and Woei Lin. "Aligning block permutation methods for topology transformation on computational grids." Journal of Supercomputing 61, no. 3 (April 21, 2011): 545–59. http://dx.doi.org/10.1007/s11227-011-0613-5.

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20

Aziz, Abdul, and Hesham El-Rewini. "Power efficient scheduling heuristics for energy conservation in computational grids." Journal of Supercomputing 57, no. 1 (February 3, 2011): 65–80. http://dx.doi.org/10.1007/s11227-011-0559-7.

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21

Zeng, Fancheng, Guanqiu Qi, Zhiqin Zhu, Jian Sun, Gang Hu, and Matthew Haner. "Convex Neural Networks Based Reinforcement Learning for Load Frequency Control under Denial of Service Attacks." Algorithms 15, no. 2 (January 23, 2022): 34. http://dx.doi.org/10.3390/a15020034.

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With the increase in the complexity and informatization of power grids, new challenges, such as access to a large number of distributed energy sources and cyber attacks on power grid control systems, are brought to load-frequency control. As load-frequency control methods, both aggregated distributed energy sources (ADES) and artificial intelligence techniques provide flexible solution strategies to mitigate the frequency deviation of power grids. This paper proposes a load-frequency control strategy of ADES-based reinforcement learning under the consideration of reducing the impact of denial

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22

Gumen, Olena, Ganna Smakovska, and Yuriy Maksуmenko. "THE USE OF NESTED ADAPTIVE GRIDS FOR MODELING HEAT TRANSFER PROCESSES IN INFORMATION AND CONTROL SYSTEMS OF COMPLEX EQUIPMENT SAMPLES." Collection of scientific works of Odesa Military Academy, no. 16 (February 11, 2022): 59–65. http://dx.doi.org/10.37129/2313-7509.2021.16.59-65.

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Modeling of processes on the use of adaptive grids for information and control systems of complex samples of equipment is offered. Application in the simulation of various natural phenomena and processes have obtained differential equations with partial derivatives. The principle of replacing the continuous domain of the unknown function by a discrete set of points (grid) is the basis of numerical methods for solving such equations. The complex solution of such problems is a definite scientific problem, the solution of which determines the accuracy of the numerical solution in areas where the

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23

Pierce, Marlon E. "Special Issue Editorial Introduction: Grids and Geospatial Information Systems." Concurrency and Computation: Practice and Experience 20, no. 14 (September 25, 2008): 1611–15. http://dx.doi.org/10.1002/cpe.1381.

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24

Mo, Tiexiang, and Guodong Li. "Parallel Accelerated Fifth-Order WENO Scheme-Based Pipeline Transient Flow Solution Model." Applied Sciences 12, no. 14 (July 21, 2022): 7350. http://dx.doi.org/10.3390/app12147350.

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The water hammer phenomenon is the main problem in long-distance pipeline networks. The MOC (Method of characteristics) and finite difference methods lead to severe constraints on the mesh and Courant number, while the finite volume method of the second-order Godunov scheme has limited intermittent capture capability. These methods will produce severe numerical dissipation, affecting the computational efficiency at low Courant numbers. Based on the lax-Friedrichs flux splitting method, combined with the upstream and downstream virtual grid boundary conditions, this paper uses the high-precisio

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25

Deese, Anthony S., and Chika O. Nwankpa. "Utilization of FPAA Technology for Emulation of Multiscale Power System Dynamics in Smart Grids." IEEE Transactions on Smart Grid 2, no. 2 (December 2011): 606–14. http://dx.doi.org/10.1109/tsg.2011.2161782.

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In this paper, the authors address computational issues associated with implementation of VLSI technologies-specifically, the utilization of field programmable analog array (FPAA) technology to analyze the steady-state as well dynamic behavior of nonlinear, multiscale power systems. Emphasis is placed on the following issues: adaptation of FPAA hardware for power flow analyses, design and construction of physical prototype, optimal hardware scaling, and application of emulation to transient fault analyses.

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26

Yu, Kachan, and Kuznetsov V. "About technical and economic indicators of wind and photoelectric stations use in the systems of network consumer railway supply systems." Theory and practice of metallurgy, no. 6 (September 21, 2019): 68–74. http://dx.doi.org/10.34185/tpm.5.2019.09.

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Purpose. To analyze the technical and economic indicators of the use of wind and photovoltaic stations in the power supply systems of non-traction consumers of railway power grids. The research methodology is based on modern methods of computational mathematics, statistics and information analysis using modern computer technology. Findings. The authors analyze the current prerequisites for the use of electricity generated from renewable sources (wind and photovoltaic stations) to supply non-traction consumers of railway power grids. The authors note that for reliable power supply to non-tracti

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Nurkanović, Armin, Amer Mešanović, Mario Sperl, Sebastian Albrecht, Ulrich Münz, Rolf Findeisen, and Moritz Diehl. "Optimization-based primary and secondary control of microgrids." at - Automatisierungstechnik 68, no. 12 (November 18, 2020): 1044–58. http://dx.doi.org/10.1515/auto-2020-0088.

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AbstractThis article discusses how to use optimization-based methods to efficiently operate microgrids with a large share of renewables. We discuss how to apply a frequency-based method to tune the droop parameters in order to stabilize the grid and improve oscillation damping after disturbances. Moreover, we propose a centralized real-time feasible nonlinear model predictive control (NMPC) scheme to achieve efficient frequency and voltage control while considering economic dispatch results. Centralized NMPC for secondary control is a computationaly challenging task. We demonstrate how to redu

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Skotniczny, Marcin, Maciej Paszyński, and Anna Paszyńska. "Bisection weighted by element size ordering algorithm for multi-frontal solver executed over 3D h refined grids." Computer Methods in Material Science 16, no. 1 (2016): 54–61. http://dx.doi.org/10.7494/cmms.2016.1.0560.

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In this paper we present an algorithm for generation of ordering over 3D grids h refined towards singularities. The ordering controls the execution of multi-frontal direct solver algorithm on systems of linear equations generated by 3D h adaptive finite element method. Our algorithm uses additional knowledge about the structure of the computational mesh, not available to alternative ordering algorithms. The proposed ordering algorithm outperforms other state-of-the-art orderings available through MUMPS interface, namely nested-dissections, AMD and PORD.

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Kibets, A. I., and Yu A. Kalinina. "REVIEW OF LITERATURE ON PARALLELING FINITE ELEMENT SCHEMES FOR SOLVING NONLINEAR STRUCTURE DEFORMATION PROBLEMS ON SUPER COMPUTERS." Problems of Strength and Plasticity 84, no. 4 (2023): 522–38. http://dx.doi.org/10.32326/1814-9146-2023-85-4-522-538.

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This article provides a review of publications devoted to the features of using parallel computing systems for solving problems in continuum mechanics using the finite element method. These publications discuss the conditions for the successful application of algorithms and software developed for the efficient operation of parallel computing systems. Methods for accelerating the solution of a problem by taking into account its specifics are studied and estimates of their effectiveness are given. The issues of application are considered: iterative methods with preconditioning for solving sparse

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Li, Xiaodong, and Zheng Xu. "Enhanced Efficient EMT-Type Model of the MMCs Based on Arm Equivalence." Applied Sciences 10, no. 23 (November 26, 2020): 8421. http://dx.doi.org/10.3390/app10238421.

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The large number of switching elements in modular multilevel converters (MMCs) contribute a tremendous computational burden for electromagnetic transient (EMT) simulation programs. Detailed equivalent models (DEMs) and average value model (AVMs) are currently two major types of accurate and efficient model. However, the DEMs are still computationally inefficient for the simulation scenarios in large-scale MMC based high-voltage direct current (MMC-HVDC) grids, as the models represent all submodule (SMs) switching events, and memorize all individual capacitor voltages. Though the AVMs provide a

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Nikitina, Alla, Alyona Filinа, Vladimir Litvinov, and Asya Atayan. "Development of a specialized software complex for modeling the biogeochemical cycles in the Azov sea, including calculation modules of transformation of phosphorus, nitrogen, silicon, sulfur and dissolved oxygen forms, as well as the dynamics of phyto-and zooplatonkton." E3S Web of Conferences 363 (2022): 02023. http://dx.doi.org/10.1051/e3sconf/202236302023.

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The paper is devoted to the development of a software complex for predictive modeling of biogeochemical cycles in the Azov Sea on high-performance computer systems in a limited time. The complex development includes the creation of software modules of the computational structure to calculate the concentrations of phosphorus, nitrogen, silicon, sulfur, dissolved oxygen forms and describe in detail phyto- and zooplankton dynamics in the Azov Sea; the integration of various environmental databases, satellite monitoring. The complex is adapted to solve a wide class of predictive problems of water

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Karakus, Ali, Tim Warburton, Mehmet Haluk Aksel, and Cuneyt Sert. "An adaptive fully discontinuous Galerkin level set method for incompressible multiphase flows." International Journal of Numerical Methods for Heat & Fluid Flow 28, no. 6 (June 4, 2018): 1256–78. http://dx.doi.org/10.1108/hff-03-2017-0098.

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Purpose This study aims to focus on the development of a high-order discontinuous Galerkin method for the solution of unsteady, incompressible, multiphase flows with level set interface formulation. Design/methodology/approach Nodal discontinuous Galerkin discretization is used for incompressible Navier–Stokes, level set advection and reinitialization equations on adaptive unstructured elements. Implicit systems arising from the semi-explicit time discretization of the flow equations are solved with a p-multigrid preconditioned conjugate gradient method, which minimizes the memory requirements

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Jeong, Se-Min, and Chang-Yull Lee. "Weighted Moving Square-Based Solver for Unsteady Incompressible Laminar Flow Simulations." Applied Sciences 12, no. 7 (March 30, 2022): 3519. http://dx.doi.org/10.3390/app12073519.

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For computational fluid dynamics simulations, grid systems are generally used in the Eulerian frame for both structured and unstructured grids and solvers designed for the chosen grid systems. In contrast to the grid-based method, in which the connection information with neighboring grids must be maintained, gridless methods do not require an underlying connectivity in the form of control volumes or elements. Hence, gridless methods are feasible and robust for the problems with moving boundary and/or complicated boundary shapes. In this study, a Eulerian gridless solver is proposed, and its ap

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De Sarkar, Ajanta, Sarbani Roy, Dibyajyoti Ghosh, Rupam Mukhopadhyay, and Nandini Mukherjee. "An Adaptive Execution Scheme for Achieving Guaranteed Performance in Computational Grids." Journal of Grid Computing 8, no. 1 (May 28, 2009): 109–31. http://dx.doi.org/10.1007/s10723-009-9120-9.

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BIEN, R., B. FUCHS, and R. WIELEN. "High Spatial Resolution Using the Conventional Particle-Mesh Technique." International Journal of Modern Physics C 02, no. 01 (March 1991): 3–13. http://dx.doi.org/10.1142/s0129183191000020.

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The use of the particle-mesh technique has a long and successful history in the field of computer simulations of collisionless gravitational systems, such as galaxies. Since the method allows the treatment of large numbers of particles statistical noise has only a small effect. On the other hand, severe problems arise when high density peaks must be resolved. In order to master these difficulties we have worked out a procedure which is an extension of the standard particle-mesh code in three-dimensional Cartesian coordinates. The basic idea is simply to introduce additional grids and sub-grids

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Shen, Zhanfeng, Jiancheng Luo, Chenghu Zhou, Guangyu Huang, Weifeng Ma, and Dongping Ming. "System design and implementation of digital-image processing using computational grids." Computers & Geosciences 31, no. 5 (June 2005): 619–30. http://dx.doi.org/10.1016/j.cageo.2004.11.014.

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Altameem, T., and M. Amoon. "An agent-based approach for dynamic adjustment of scheduled jobs in computational grids." Journal of Computer and Systems Sciences International 49, no. 5 (October 2010): 765–72. http://dx.doi.org/10.1134/s1064230710050114.

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Abu Sarhan, Mohammad, Andrzej Bien, and Szymon Barczentewicz. "Use of analytical hierarchy process for selecting and prioritizing islanding detection methods in power grids." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 3 (June 1, 2024): 2422. http://dx.doi.org/10.11591/ijece.v14i3.pp2422-2435.

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One of the problems that are associated to power systems is islanding condition, which must be rapidly and properly detected to prevent any negative consequences on the system's protection, stability, and security. This paper offers a thorough overview of several islanding detection strategies, which are divided into two categories: classic approaches, including local and remote approaches, and modern techniques, including techniques based on signal processing and computational intelligence. Additionally, each approach is compared and assessed based on several factors, including implementation

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Anderson, Christopher R., Mark F. Gyure, Sam Quinn, Andrew Pan, Richard S. Ross, and Andrey A. Kiselev. "High-precision real-space simulation of electrostatically confined few-electron states." AIP Advances 12, no. 6 (June 1, 2022): 065123. http://dx.doi.org/10.1063/5.0089350.

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In this paper, we present a computational procedure that utilizes real-space grids to obtain high precision approximations of electrostatically confined few-electron states such as those that arise in gated semiconductor quantum dots. We use the full configuration interaction method with a continuously adapted orthonormal orbital basis to approximate the ground and excited states of such systems. We also introduce a benchmark problem based on a realistic analytical electrostatic potential for quantum dot devices. We show that our approach leads to highly precise computed energies and energy di

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Sarhan, Amany, Ahmed I. Saleh, and Amr M. Hamed. "A reliable-adaptive scheduler for computational grids with failure recovery and rescheduling mechanisms." International Journal of Grid and Utility Computing 2, no. 1 (2011): 59. http://dx.doi.org/10.1504/ijguc.2011.039981.

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Venetis, Ioannis E., Vasso Saltogianni, Stathis Stiros, and Efstratios Gallopoulos. "Multivariable inversion using exhaustive grid search and high-performance GPU processing: a new perspective." Geophysical Journal International 221, no. 2 (January 23, 2020): 905–27. http://dx.doi.org/10.1093/gji/ggaa042.

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SUMMARY Exhaustive searches in regular grids is a traditional and effective method for inversion, that is numerical solution of systems of non-linear equations which cannot be solved using formal algebraic techniques. However, this technique is effective for very few (3–4) variables and is slow. Recently, the first limitation was to a major degree overpassed with the new TOPological INVersion (TOPINV) algorithm which was used for inversion of systems with up to 18, or even more unknown variables. The novelty of this algorithm is that it is not based on the principle of the mean minimum misfit

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Shah, Sayed Chhattan, and Myong Soon Park. "An Energy-Efficient Resource Allocation Scheme for Mobile Ad Hoc Computational Grids." Journal of Grid Computing 9, no. 3 (April 16, 2011): 303–23. http://dx.doi.org/10.1007/s10723-011-9188-x.

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Liang, Feng, Yunzhen Liu, Hai Liu, Shilong Ma, and Bettina Schnor. "A Parallel Job Execution Time Estimation Approach Based on User Submission Patterns within Computational Grids." International Journal of Parallel Programming 43, no. 3 (November 12, 2013): 440–54. http://dx.doi.org/10.1007/s10766-013-0294-1.

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Kołodziej, Joanna, and Fatos Xhafa. "Modern approaches to modeling user requirements on resource and task allocation in hierarchical computational grids." International Journal of Applied Mathematics and Computer Science 21, no. 2 (June 1, 2011): 243–57. http://dx.doi.org/10.2478/v10006-011-0018-x.

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Modern approaches to modeling user requirements on resource and task allocation in hierarchical computational grids Tasks scheduling and resource allocation are among crucial issues in any large scale distributed system, including Computational Grids (CGs). These issues are commonly investigated using traditional computational models and resolution methods that yield near-optimal scheduling strategies. One drawback of such approaches is that they cannot effectively tackle the complex nature of CGs. On the one hand, such systems account for many administrative domains with their own access poli

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Gundy-Burlet, K. L., M. M. Rai, R. C. Stauter, and R. P. Dring. "Temporally and Spatially Resolved Flow in a Two-Stage Axial Compressor: Part 2—Computational Assessment." Journal of Turbomachinery 113, no. 2 (April 1, 1991): 227–32. http://dx.doi.org/10.1115/1.2929090.

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Fluid dynamics of turbomachines are complicated because of aerodynamic interactions between rotors and stators. It is necessary to understand the aerodynamics associated with these interactions in order to design turbomachines that are both light and compact as well as reliable and efficient. The current study uses an unsteady, thin-layer Navier–Stokes zonal approach to investigate the unsteady aerodynamics of a multistage compressor. Relative motion between rotors and stators is made possible by the use of systems of patched and overlaid grids. Results have been computed for a 2 1/2-stage com

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Rahman, Ashiqur Md, and Rashedur M. Rahman. "CAPM Indexed Hybrid E-Negotiation for Resource Allocation in Grid Computing." International Journal of Grid and High Performance Computing 5, no. 2 (April 2013): 72–91. http://dx.doi.org/10.4018/jghpc.2013040105.

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Computational Grids are a promising platform for executing large-scale resource intensive applications. This paper identifies challenges in managing resources in a Grid computing environment and proposes computational economy as a metaphor for effective management of resources and application scheduling. It identifies distributed resource management challenges and requirements of economy-based Grid systems, and proposes an economy based negotiation system protocol for cooperative and competitive trading of resources. Dynamic pricing for services and good level of Pareto optimality make auction

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Savyanavar, Amit Sadanand, and Vijay Ram Ghorpade. "Application Checkpointing Technique for Self-Healing From Failures in Mobile Grid Computing." International Journal of Grid and High Performance Computing 11, no. 2 (April 2019): 50–62. http://dx.doi.org/10.4018/ijghpc.2019040103.

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A mobile grid (MG) consists of interconnected mobile devices which are used for high performance computing. Fault tolerance is an important property of mobile computational grid systems for achieving superior arrangement reliability and faster recovery from failures. Since the failure of the resources affects task execution fatally, fault tolerance service is essential to achieve QoS requirement in MG. The faults which occur in MG are link failure, node failure, task failure, limited bandwidth etc. Detecting these failures can help in better utilisation of the resources and timely notification

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Ibrahim, Ahmad Asrul, Khairuddin Khalid, Hussain Shareef, and Nor Azwan Mohamed Kamari. "A Bounded Exhaustive Search Technique for Optimal Phasor Measurement Unit Placement in Power Grids." Symmetry 12, no. 12 (December 7, 2020): 2021. http://dx.doi.org/10.3390/sym12122021.

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This paper proposes a technique to determine the possible optimal placement of the phasor measurement unit (PMU) in power grids for normal operating conditions. All possible combinations of PMU placement, including infeasible combinations, are typically considered in finding the optimal solution, which could be a massive search space. An integer search algorithm called the bounded search technique is introduced to reduce the search space in solving a minimum number of PMU allocations whilst maintaining full system observability. The proposed technique is based on connectivity and symmetry cons

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Ambareen, Javeria, and Prabhakar M. "Secured Wireless Sensor Network Protocol using Rabin-assisted Multifactor Authentication." International Journal of Computer Network and Information Security 14, no. 4 (August 8, 2022): 60–74. http://dx.doi.org/10.5815/ijcnis.2022.04.05.

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Wireless sensor networks (WSNs) when combined with Internet-of-things (IoT) enable a wide range of applications across multiple domains. Sensor nodes in these wireless sensor networks like any other Internet-connected device are resource constrained and vulnerable to a variety of malicious attacks thereby compromising security. Consequently, a secure and efficient lightweight cryptographic protocol is required that can provide a balance between end-to-end security offering all features but yet lightweight. For secure data transmission and access, newer multi-factor authentication and key manag

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Hegde, Sujay N., H. K. Krishnappa, M. A. Rajan, and Srinivas D B. "An efficient greedy task scheduling algorithm for heterogeneous inter-dependent tasks on computational grids." International Journal of Grid and Utility Computing 1, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijguc.2020.10026377.

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