Author(s):  
Giovanni Aloisio ◽  
Massimo Cafaro ◽  
Paolo Falabella ◽  
Carl Kesselman ◽  
Roy Williams

Author(s):  
P. Raghu ◽  
K. Sriram

Grid computing is a special type of parallel computing, which allows us to unite pools of servers, storage systems, and networks into a single large virtual super computer. Grid computing has the advantages of solving complex problems in a shorter time and also makes better use of the existing hardware. It can take advantage of underutilized resources to meet business requirements while minimizing additional costs. There are many Grid setup tools available. In this paper, Globus Toolkit, an open source tool for grid enabled applications, is considered. Initially grid is established between two systems running Linux, using Globus Toolkit. A simple matrix multiplication program, which is capable of running both in grid and stand alone systems, is developed. The application is executed in single system varying the order of the matrices. The same application is split into two sub jobs and run on two grid machines with different orders. Finally the results of the execution are compares and the results are presented in graphs. The work can be extended further to find the type of parallelizing suitable for the application developed. Similarly, FP tree algorithm is taken and the data sets are fed into different machine and in stand alone system. A suitable load balancing mechanism for grid application is discussed. The sections in the paper are arranged as following; Introduction to Grid, Grid setup using Globus toolkit, splitting of the matrix application, FP tree algorithm, performance results, future works, conclusion and references.


2017 ◽  
Vol 2 (1) ◽  
pp. 7
Author(s):  
Izzatul Ummah

In this research, we build a grid computing infrastructure by utilizing existing cluster in Telkom University as back-end resources. We used middleware Globus Toolkit 6.0 and Condor 8.4.2 in developing the grid system. We tested the performance of our grid system using parallel matrix multiplication. The result showed that our grid system has achieved good performance. With the implementation of this grid system, we believe that access to high performance computing resources will become easier and the Quality of Service will also be improved.


2011 ◽  
Vol 267 ◽  
pp. 848-851 ◽  
Author(s):  
Wei Wang ◽  
Hui Yan Wang ◽  
Shen Jie Jia ◽  
Shi Min Wei

To obtain the optimal path in a unknown disaster field,a rescue robot needs to build an environment map. The information of the disaster field is collected by the sonsors of different robots, all signal from sensors (mounted on all robots and signal form GPS) are sent to the bakeside parllel processors with wireless network. A grid computing environment serves as the backside parallel processors with Globus Toolkit, the grid computing processor process all the signals and construct the global map to help robot for navigation path planning.The rescue robot get control signal from the grid computing processor with wireless network,thus, the robot is not necessary to be sophisticated. New computing methods are given for parallel algorithm on grid environment. The navigation control is implemented with the cooperation among heterogeneous agents, the advantages of large seale computing on grid are shown.


Author(s):  
Widodo Budiharto

Grid computing is a distributed computing technology that utilizes resources connected through a free computer network, yet coordinated with a specific mechanism. The development of grid computing infrastructure is not easy because it takes skill and experience in the installation and configuration of both Linux-based and open source program. In this study, the author built a grid computing infrastructure based on Debian 4, and used Globus Toolkit 4.1.2 on three computers. The WSRF technology was tried to run as an indication that the grid infrastructure has been successfully built. Based on some experiments in this study, grid computing can run well on the three computers with a user interface of web-based grid system using the UCLA Grid Portal. Overall the system runs fine, but it requires high experiences and comprehensions upon the Linux operating systems as well as computer networks in the installation process.


2017 ◽  
Vol 14 (1) ◽  
pp. 26
Author(s):  
Irawan Irawan ◽  
Irmawati Irmawati ◽  
Syarif Al Qadri Syahrir

Grid Computing merupakan salah satu sistem komputasi paralel terdistribusi dengan menggunakan banyak sumber daya komputasi yang dikelolah secara bersama dan terpisah secara geografis. Grid computing saat ini menjadi suatu bentuk solusi untuk melakukan komputasi dalam skala besar.Penelitian ini menggunakan beberapa komputer yang dibagi menjadi dua klaster yang terpisah. Menggunakan pustaka OpenMPI untuk lingkungan komputasi paralel dan Sun Grid Scheduler sebagai gridengine, Globus Toolkit sebagai middleware, Gridsphere dan Vine Toolkit sebagai portal grid. Penelitian ini dapat digunakan sebagai panduan untuk membangun sistem komputasi paralel pada infrastruktur grid computing dan mengetahui cara kerja sistem grid computing untuk dapat dilakukan pengembangan sistem untuk mendukung proses pembelajaran.


2011 ◽  
Vol 3 (3) ◽  
pp. 54-56
Author(s):  
Prof. Milan Kantilal Vachhani ◽  
◽  
Dr. Kishor H Atkotiya

2012 ◽  
Vol 2 (3) ◽  
pp. 137-138
Author(s):  
S. Murali S. Murali ◽  
◽  
C. B. Selvalakshmi C. B. Selvalakshmi ◽  
S. Padmadevi S. Padmadevi ◽  
P. N. Karthikayan P. N. Karthikayan
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