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Towards an IO intensive Grid application instrumentation in MedioGRID [article]

Dacian Tudor, Florin Pop, Valentin Cristea, Vladimir Cretu
2011 arXiv   pre-print
In this paper we present an architecture designed for supporting IO intensive applications in MedioGRID, a system for real-time processing of satellite images, operating in a Grid environment.  ...  Obtaining high performance in IO intensive applications requires systems that support reliable fast transfer, data replication, and caching.  ...  We include in this system a monitoring tools and extension for collecting data from application running on a cluster and from cluster.  ... 
arXiv:1106.5302v1 fatcat:bpatqwjjjfgdheptctrgcpjdii

A Rank-Based Hybrid Algorithm for Scheduling Data- and Computation-Intensive Jobs in Grid Environments [chapter]

Mohsen Abdoli, Reza Entezari-Maleki, Ali Movaghar
2013 Advances in Intelligent Systems and Computing  
Most existing scheduling algorithms in grids only focus on one type of grid jobs which can be data-intensive or computation-intensive.  ...  Using the Z factor, the importance of two dimensions (being data or computation intensive) for each job is determined, and then the job is scheduled to the available resources.  ...  In other words, each application is both data-intensive and computation-intensive. However the ratio between being data and computation intensive differs among applications.  ... 
doi:10.1007/978-81-322-1665-0_79 fatcat:4xzrumjcbbfafnapi6sag2xoq4

On the Performance of Oracle Grid Engine Queuing System for Computing Intensive Applications

Vladi Kolici, Albert Herrero, Fatos Xhafa
2014 Journal of Information Processing Systems  
We study the performance of Oracle Grid Engine for such application running in a Cluster of high computing capacities.  ...  Such applications distinguish for their demanding needs for CPU computing, independently of the amount of data associated with the problem instance.  ...  We study the performance of Oracle Grid Engine for such application running in a HPC cluster of high computing capacities.  ... 
doi:10.3745/jips.01.0004 fatcat:j6m2agai35hrbj2pki2gn3krw4

GARUDA: Pan-Indian distributed e-infrastructure for compute-data intensive collaborative science

N. Mangala, B. B. Prahlada Rao, Subrata Chattopadhyay, R. Sridharan, N. Sarat Chandra Babu
2013 CSI Transactions on ICT  
The authors in this paper present the manner of building a nation-wide operational grid and its evolution, its deliverables, architecture and applications.  ...  for the twenty-first century.  ...  Acknowledgments We are thankful to the Department of Information Technology (DeitY) Government of India, for the financial and technical support to GARUDA-The National Grid Computing Initiative.  ... 
doi:10.1007/s40012-013-0016-2 fatcat:m3tvdndusnefxcgixlqiulxbha

MAPFS-Grid: A Flexible Architecture for Data-Intensive Grid Applications [chapter]

María S. Pérez, Jesús Carretero, Félix García, José M. Peña, Víctor Robles
2004 Lecture Notes in Computer Science  
These systems have had a growing interest due to the increasing number of applications using a huge amount of data, known as data-intensive applications.  ...  Grid computing constitutes one of the most important computing paradigms appeared in the last decade. Data grids are grid system, whose main concern is the efficient and reliable management of data.  ...  Conclusions and Future Work In this work we have presented MAPFS-Grid as an extension of the MAPFS I/O architecture for data-intensive grid applications.  ... 
doi:10.1007/978-3-540-24689-3_14 fatcat:d4cw3tbvuvb65kelfsq5cw6tc4

DZero data-intensive computing on the Open Science Grid

B Abbott, A Baranovski, M Diesburg, G Garzoglio, T Kurca, P Mhashilkar
2008 Journal of Physics, Conference Series  
For the first time in the lifetime of the experiment, a data intensive production activity was managed on a general purpose grid, such as OSG.  ...  This system organized job access to a complex topology of data queues and job scheduling to clusters, using a SAM-Grid to OSG job forwarding infrastructure.  ...  In addition, as expected, sites with poor connectivity to storages are useless to run data intensive applications.  ... 
doi:10.1088/1742-6596/119/6/062001 fatcat:t5ongghkczbxvbsvejugdu52zm

A Study on the Performance of Oracle Grid Engine for Computing Intensive Applications

Vladi Kolici, Albert Herrero, Fatos Xhafa, Leonard Barolli
2014 2014 International Conference on Intelligent Networking and Collaborative Systems  
We study the performance of Oracle Grid Engine for such application running in a HPC Cluster of high computing capacities.  ...  intensive and data intensive.  ... 
doi:10.1109/incos.2014.39 dblp:conf/incos/KoliciHXB14 fatcat:ckcnsljlunar5bswb6i35bsfa4

Cloud Computing: A Detailed Relationship to Grid and Cluster Computing

Ikechukwu Nwobodo
2015 International Journal of Future Computer and Communication  
This paper will be exploring the evolutionary relationships in terms of features and component of cloud computing technological innovation in comparison to cluster and grid computing.  ...  Cloud computing concept is a development trend based on several successful researches in computing areas such as virtualization, grid computing, cluster computing and distributed computing.  ...  Clusters are used as a platform for application data mining that requires compute and data intensive operations.  ... 
doi:10.7763/ijfcc.2015.v4.361 fatcat:vmaq6ewixjektdnrczmksro5cm

Towards A Better Understanding of Workload Dynamics on Data-Intensive Clusters and Grids

Hui Li, Lex Wolters
2007 2007 IEEE International Parallel and Distributed Processing Symposium  
This paper presents a comprehensive statistical analysis of workloads collected on data-intensive clusters and Grids.  ...  This study has important implications on workload modeling and performance predictions in data-intensive Grid environments.  ...  We want to express our gratitude to all who graciously provide us with the data.  ... 
doi:10.1109/ipdps.2007.370250 dblp:conf/ipps/LiW07 fatcat:34h5nnovazalfiu6pxunyi3wpi

A platform for distributed analysis of neuroimaging data on global grids

S. Kolbe, Tianchi Ma, Wei Liu, Wee Siong Soh, R. Buyya, G. Egan
2005 First International Conference on e-Science and Grid Computing (e-Science'05)  
The clusters in our Grid environment were managed using PBS and SGE.  ...  In the current experiment, the MRI data analysis tasks are composed and formulated as a parameter sweep application. This application was deployed using the Gridbus Resource broker.  ...  This research was supported by a major National Research Facility grant to Neurosciences Victoria, and by the National Neuroscience Facility, Melbourne and partially supported by ARC Discovery Project  ... 
doi:10.1109/e-science.2005.9 dblp:conf/eScience/KolbeMLSBE05 fatcat:zll634kfdbdwdgtjv5kmbzxcni

Large-Scale Scientific Irregular Computing on Clusters and Grids [chapter]

Peter Brezany, Marian Bubak, Maciej Malawski, Katarzyna Zajcac
2002 Lecture Notes in Computer Science  
This paper discusses an integrated approach, namely ideas, techniques, concepts and software architecture for implementing such data intensive applications on computational clusters and the computational  ...  Data sets involved in many scientific applications are often too massive to fit into main memory of even the most powerful computers and therefore they must reside on disk, and thus communication between  ...  Recently the term "Data Grid" has come into use to describe a specialization and extension of the computational Grid for data intensive Grid applications [11] , and several Data Grid projects have been  ... 
doi:10.1007/3-540-46043-8_49 fatcat:zxaunyxcpzh75ixhthaopounvy

File Clustering Based Replication Algorithm in a Grid Environment

Hitoshi Sato, Satoshi Matsuoka, Toshio Endo
2009 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid  
Replication in grid file systems can significantly improves I/O performance of data-intensive applications.  ...  We propose a file clustering based replication algorithm for grid file systems.  ...  Acknowledgements This research is supported in part by the MEXT Grantin-Aid for Scientific Research on Priority Areas 18049028 and the JSPS Global COE program entitled "Computationism as Foundation for  ... 
doi:10.1109/ccgrid.2009.73 dblp:conf/ccgrid/SatoME09 fatcat:s7vilr2h6fgwda3aox3kvokzam

Implementation of Computational Grid Services in Enterprise Grid Environments

R.J.A. Richard, Ajay Anant Joshi, C. Eswaran
2008 American Journal of Applied Sciences  
The emergence of Global Grid concept provides an excellent opportunity for Grid based e-Science applications to use high performance super computing environments.  ...  Thus windows based enterprise grid environments can't be neglected in the development of Global Grids.  ...  ACKNOWLEDGEMENT We would like to thank the Alchemi team of GRIDS Lab, Melbourne University for providing Alchemi toolkit as an open source grid development toolkit. We thank Dr.  ... 
doi:10.3844/ajassp.2008.1442.1447 fatcat:3o57stf77vg3nahcc3zlfvv5qi

Using multiple grid resources for bioinformatics applications in GADU

D. Sulakhe, A. Rodriguez, M. Wilde, I. Foster, N. Maltsev
2006 Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06)  
GADU is a high-throughput computational system developed to automate the steps involved in accessing the Grid resources for running bioinformatics applications.  ...  The paper also highlights the features implemented to make GADU a gateway to computationally intensive bioinformatics applications on the Grid.  ...  the systems support groups of MCS, OSG, TeraGrid, Globus, Condor, and iVDGL VDT, Center for Grid Technologies at ISI, USC.  ... 
doi:10.1109/ccgrid.2006.1630934 fatcat:ujrq565bajb7xfz2rdnfoawxtu

Two Level Job Scheduling and Data Replication in Data Grid

Somayeh Abdi, Hossein Pedram, Somayeh Mohamadi
2010 International Journal of Grid Computing & Applications  
access efficiencies in a cluster grid.  ...  Data Grid environment is a geographically distributed that deal with date-intensive application in scientific and enterprise computing.  ...  In data-intensive applications, the locations of data required by the job impact the Grid scheduling decision and performance greatly [3] .  ... 
doi:10.5121/ijgca.2010.1103 fatcat:nrzul2dzdjhurc2q5lsdii2msm
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