Load balancing with Job Migration Algorithm for improving performance on grid computing: Experimental Results by Ali WIDED, Kazar OKBA, Bouakkaz FATIMA

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<i>Grid computing: A practical guide to technology and applications</i>. Ahmar Abbas by Armando Eduardo De Giusti

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GEMM, a Genetic Engineering-Based Mutual Model for Resource Allocation of Grid Computing by Sandeep Kumar Sharma, Amit Chaurasia, Vijay Shankar Sharma, Chiranji Lal Chowdhary, Shakila Basheer

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Selective lookup and intercommunication in grid (SLIG) adapting the distributed spanning tree to grid computing by J. Amudhavel, V. Agalya, T. Dhivya, V. Vijayakumar, S. Keerthana, A. Dhamayanthi, B. Bhuvaneswari

Subjects: “…Grid computing systems…”
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Efficient Method for Parallel Process and Matching of Large Data set in Grid Computing Environment by E. Sankar, K. Ashokkumar

Subjects: “…grid computing…”
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A survey : particle swarm optimization-based algorithms for grid computing scheduling systems. by Ambursa, Faruku Umar, Latip, Rohaya

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Improving resource management with multi-instance broker scheduling algorithm in hierarchical grid computing by Yahaya, Bakri

Subjects: “…Computational grids (Computer systems)…”
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Hierarchical quality-of-service-based job scheduling system for market-oriented grid computing by Bouyer, Asgarali

Strategic oscillation for exploitation and exploration of ACS algorithm for job scheduling in static grid computing by Alobaedy, Mustafa Muwafak, Ku-Mahamud, Ku Ruhana

“…However, the rate remains unchanged during the algorithm iterations, which makes the algorithm either bias toward exploitation or exploration.Hence, this study proposes a strategic oscillation rate to control the exploitation and exploration in ant colony system.The proposed algorithm was evaluated with job scheduling problem benchmarks on grid computing.Experimental results show that the proposed algorithm outperforms other metaheuristics algorithms in terms of makespan and flowtime. …”
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WEKA-G: Parallel data mining on computational grids by PIMENTA, A., VALENTIM, P., SANTOS, D., NETO, M.

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GEOBARN: A Practical Grid Geospatial Database System by XIE, X., FANG, Y., HUANG, Z., PAN, M.

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Mathematical simulation for 3-dimensional temperature visualization on open-source-based grid computing platform / by Norma Alias, author, Noriza Satam, author, Zarith Safiza Abdul Ghaffar, author, Roziha Darwis, author, Norhafiza Hamzah, 1984-, author, Md. Rajibul Islam, author, Proceedings of 2009 International Conference on Computer Research and Development (2009: Perth, Australia)

Quantitative quality of service for grid computing : applications for heterogeneity, large-scale distribution, and dynamic environments / by Wang, Lizhe, 1974-, Chen, Jinjun., Jie, Wei.

Subjects: “…Computational grids (Computer systems)…”
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The Application of Fractal Transform and Entropy for Improving Fault Tolerance and Load Balancing in Grid Computing Environments by Murad B. Khorsheed, Qasim M. Zainel, Oday A. Hassen, Saad M. Darwish

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Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing by Marco Pappalardo, Conrad Bielski, Simone Gentilini

“…It also demonstrates how the GENESI-DR SOA can be linked to web processing services that access grid computing resources for fast image processing and use secure communication to ensure confidentiality of information.…”
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Underwater Localization Based on Grid Computation and Its Application to Transmit Beamforming in Multiuser UWA Communications by Li Liao, Yuriy V. Zakharov, Paul D. Mitchell

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Parallel Optimization Method of Unstructured-grid Computing in CFD for DomesticHeterogeneous Many-core Architecture by CHEN Xin, LI Fang, DING Hai-xin, SUN Wei-ze, LIU Xin, CHEN De-xun, YE Yue-jin, HE Xiang

“…Sunway TaihuLight ranked first in the global supercomputer top 500 list 2016－2018 with a peak performance of 125.4 PFlops.Its computing power is mainly attributed to the domestic SW26010 many-core RISC processor.CFD unstructured-grid computing has always been a challenge for porting and optimizing in domestic many-core supercomputer,because of its complex topology,serious discrete memory access problems,and strongly correlated linear equation solution.In order to give fully play to the computing efficiency of domestic heterogeneous multi-core architecture,firstly,a data reconstruction model is proposed to improve the locality and parallelism of data,and the data structure is more suitable for the characteristics of multi-core architecture.Secondly,aiming at the discrete memory access problem caused by the disorder of unstructured-grid data storage,a discrete memory access optimization method based on prestorage of information relation is proposed,which transforms discrete memory access into continuous memory access.Finally,the pipeline parallelism mechanism in core array is introduced to realize many-core parallelism for solving linear equations with strong correlation.Experiments show that the overall performance of unstructured-grid computing in CFD is improved by more than 4 times,and is 1.2x faster than the general CPU.The computing cores scale to 624 000,and the parallelism efficiency is maintained at 64.5%.…”
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Resource broker management by adopting self-adaptive multi-instance broker scheduling in grid computing by Yahaya, Bakri, Latip, Rohaya, Abdullah, Azizol, Othman, Mohamed

CST333 – DISTRIBUTED & GRID COMPUTING [PERKOMPUTERAN TERAGIH & GRID] DEC. 2014 - JAN. 2015 by PPSKOM, Pusat Pengajian Sains Komputer

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CST333 – DISTRIBUTED & GRID COMPUTING [PERKOMPUTERAN TERAGIH & GRID] DEC. 2015 - JAN. 2016 by PPSKOM, Pusat Pengajian Sains Komputer

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