VLab: collaborative Grid services and portals to support computational material science

نویسندگان

  • Mehmet A. Nacar
  • Mehmet S. Aktas
  • Marlon E. Pierce
  • Zhenyu Lu
  • Gordon Erlebacher
  • Dan Kigelman
  • Evan F. Bollig
  • Cesar R. S. da Silva
  • Benny Sowell
  • David A. Yuen
چکیده

We present the initial architecture and implementation of VLab, a Grid and Web-Service-based system for enabling distributed and collaborative computational chemistry and material science applications for the study of planetary materials. The requirements of VLab include job preparation and submission, job monitoring, data storage and analysis, and distributed collaboration. These components are divided into client entry (input file creation, visualization of data, task requests) and back-end services (storage, analysis, computation). Clients and services communicate through NaradaBrokering, a publish/subscribe Grid middleware system that identifies specific hardware information with topics rather than IP addresses. We describe three aspects of VLab in this paper: (1) managing user interfaces and input data with JavaBeans and Java Server Faces; (2) integrating Java Server Faces with the Java CoG Kit; and (3) designing a middleware framework that supports collaboration. To prototype our collaboration and visualization infrastructure, we have developed a service that transforms a scalar data set into its wavelet representation. General adaptors are placed between the endpoints and NaradaBrokering, which serve to isolate the clients/services from the middleware. This permits client and service development independently of potential changes to the middleware. Copyright c © 2007 John Wiley & Sons, Ltd.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Grid Infrastructure to Support Science Portals for Large Scale Instruments

Soon, a new generation of scientific workbenches will be developed as a collaborative effort among various research institutions in the United States. These scientific workbenches will be accesses in the Web via portals. Reusable components are needed to build such portals for different scientific disciplines, allowing uniform desktop access to remote resources. Such components will include too...

متن کامل

Workflow-Oriented Collaborative Grid Portals1

The paper presents how workflow-oriented, single-user Grid portals could be extended to meet the requirements of users with collaborative needs. Through collaborative Grid portals different research and engineering teams would be able to share knowledge and resources. At the same time the workflow concept assures that the shared knowledge and computational capacity is aggregated to achieve the ...

متن کامل

DISCOVER: A Computational Collaboratory for Interactive Grid Applications

The growth of the Internet and the advent of the computational Grid have made it possible to develop and deploy advanced services and computational collaboratories on the Grid. These systems build on high-end computational resources and communication technologies, and enable seamless and collaborative access to resources, applications and data. In this chapter we present an overview of the DISC...

متن کامل

The Grid Portal Development Kit

Computational science portals are emerging as useful and necessary interfaces for performing operations on the Grid. The Grid Portal Development Kit (GPDK) facilitates the development of Grid portals and provides several key reusable components for accessing various Grid services. A Grid Portal provides a customizable interface allowing scientists to perform a variety of Grid operations includi...

متن کامل

Experiences with OGSA-DAI: Portlet Access and Benchmark

Portals have proven to be useful client-side applications for providing user-oriented services for accessing the grid. Grids are increasingly being used for collaborative work within the scientific community. The job processing time for high performance computations can be reduced by the usage of computational grids, with its wide availability to resources. Grid users would similarly benefit fr...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Concurrency and Computation: Practice and Experience

دوره 19  شماره 

صفحات  -

تاریخ انتشار 2007