A Database Grid Service Based on CSGPA

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.543-547.3419 ◽

2014 ◽

Vol 543-547 ◽

pp. 3419-3422

Author(s):

Jian Cao ◽

Cong Yan

Keyword(s):

Heterogeneous Databases ◽

Grid Service ◽

Grid Environment ◽

Grid Portal

Database grid service provides users with a unified interface to access to distributed heterogeneous databases resources. To overcome the weakness of collaborative services ability in different grid portal, a new grid portal architecture based on CSGPA (Collaborative Services Grid Portal Architecture), is proposed. It devotes integrating database into Grid environment with grid service. In comparison with the current mainstream grid portal architecture, the results show that CSGPA has great advantage in efficiency, deployment costs, scalability and reusability etc.

Download Full-text

A Database Grid Service with a Novel Mutation Operator

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.989-994.4869 ◽

2014 ◽

Vol 989-994 ◽

pp. 4869-4872

Author(s):

Jian Cao ◽

Yan Bin Li ◽

Cong Yan

Keyword(s):

Optimization Problems ◽

Novel Mutation ◽

Experimental Studies ◽

Heterogeneous Databases ◽

Grid Service ◽

Benchmark Problems ◽

Mutation Operator ◽

Grid Portal ◽

Complex Optimization ◽

Improved Pso

Database grid service provides users with a unified interface to access to distributed heterogeneous databases resources. To overcome the weakness of collaborative services ability in different grid portal, a new grid portal architecture based on CSGPA (Collaborative Services Grid Portal Architecture), is proposed. This paper aims to enhance the performance of PSO in complex optimization problems and proposes an improved PSO variant by incorporating a novel mutation operator. Experimental studies on some well-known benchmark problems show that our approach achieves promising results.

Download Full-text

Enabling GeneHunter as a Grid Service

Methods of Information in Medicine ◽

10.3414/me10-01-0005 ◽

2011 ◽

Vol 50 (04) ◽

pp. 364-371

Author(s):

S. Krikov ◽

R. C. Price ◽

S. A. Matney ◽

K. Allen-Brady ◽

J. C. Facelli

Keyword(s):

Best Practices ◽

Data Sharing ◽

Semantic Integration ◽

Grid Service ◽

Linkage Data ◽

Grid Environment ◽

Data Format ◽

Legacy Application ◽

New Applications ◽

Analytical Tools

SummaryBackground: A cursory analysis of the biomedical grid literature shows that most projects emphasize data sharing and the development of new applications for the grid environment. Much less is known about the best practices for the migration of existing analytical tools into the grid environment.Objectives: To make GeneHunter available as a grid service and to evaluate the effort and best practices needed to enable a legacy application as a grid service when addressing semantic integration and using the caBIG tools.Methods: We used the tools available in the caBIG environment because these tools are quite general and they may be used to deploy services in similar biomedical grids that are OGSA-compliant.Results: We achieved semantic integration of GeneHunter within the caBIG by creating a new UML model, LinkageX, for the LINKAGE data format. The LinkageX UML model has been published in the caDSR and it is publically available for usage with Gene-Hunter or any other program using this data format.Conclusions: While achieving semantic interoperability is still a time-consuming task, the tools available in caBIG can greatly enhance productivity and decrease errors.

Download Full-text

A Framework Supporting the Development of a Grid Portal for Analysis Based on ROI

Methods of Information in Medicine ◽

10.1055/s-0038-1633960 ◽

2005 ◽

Vol 44 (02) ◽

pp. 265-269 ◽

Cited By ~ 4

Author(s):

S. Date ◽

T. Kaishima ◽

S. Shimojo ◽

K. Ichikawa

Keyword(s):

High Performance ◽

Heterogeneous Computing ◽

Function Analysis ◽

Region Of Interest ◽

Batch Processing ◽

Grid Environment ◽

Grid Portal ◽

Controlling Mechanism ◽

Steering Mechanism ◽

High Performance Computation

Summary Objectives: In our research on brain function analysis, users require two different simultaneous types of processing: interactive processing to a specific part of data and high-performance batch processing to an entire dataset. The difference between these two types of processing is in whether or not the analysis is for data in the region of interest (ROI). In this study, we propose a Grid portal that has a mechanism to freely assign computing resources to the users on a Grid environment according to the users’ two different types of processing requirements. Methods: We constructed a Grid portal which integrates interactive processing and batch processing by the following two mechanisms. First, a job steering mechanism controls job execution based on user-tagged priority among organizations with heterogeneous computing resources. Interactive jobs are processed in preference to batch jobs by this mechanism. Second, a priority-based result delivery mechanism that administrates a rank of data significance. Results: The portal ensures a turn-around time of interactive processing by the priority-based job controlling mechanism, and provides the users with quality of services (QoS) for interactive processing. The users can access the analysis results of interactive jobs in preference to the analysis results of batch jobs. The Grid portal has also achieved high-performance computation of MEG analysis with batch processing on the Grid environment. Conclusion: The priority-based job controlling mechanism has been realized to freely assign computing resources to the users’ requirements. Furthermore the achievement of high-performance computation contributes greatly to the overall progress of brain science. The portal has thus made it possible for the users to flexibly include the large computational power in what they want to analyze.

Download Full-text