The TAAROA Project Specification

In the last few years there has been a rapid exponential increase in computer processing power, data storage and communication. But still there are many complex and computation intensive problems, which cannot be solved by supercomputers. These problems can only be met with a vast variety of heterogeneous resources. The increased use and popularity of the Internet and the availability of high-speed networks have gradually changed the way we do computing. These technologies have enabled the cooperative use of a wide variety of geographically distributed resources as a single more powerful computer. This new method of pooling resources for solving large-scale problems is called as grid computing. Grid computing is a form of distributed computing in which an organization (business, university, etc.) uses its existing computers (desktop and/or cluster nodes) to handle its own long-running computational tasks. Grid computing combines computers from multiple administrative domains to reach a common goal, to solve a single task, and may then disappear just as quickly. Grid computing is managed by Global Grid Forum (GGF). Grid includes various protocols, topologies, standards and layers for implementing grid related applications. This paper describes the concepts underlying grid computing.

Nuclear Physics B - Proceedings Supplements, 2003

We present a grid system, which is in development, employing an architecture comprising the primary functional components of job handling, data handling, and monitoring and information services. Each component is built using existing Grid middleware.

Due to large data sets and accompanied large number of parameters being produced by high throughput techniques, it became necessary to develop high performance computers based on clustering technologies and high performance distributed platforms. Research efforts in achieving a high performance distributed platforms yield grid computing. However, grid is complex as a result of heterogeneous nature of the underlying softwares and hardware resources forming it. Managing these issues has become an important research and development challenges. In the literature, various implementation solutions have been proposed for managing heterogeneity in distributed systems. Programming language and platform dependency problems of these solutions are the motivation of this paper. We have proposed software infrastructure for managing the heterogeneity in grid computing environment. Our proposed solution is based on the standards and specifications of Web services framework.

Concurrent Engineering, 2006

Improvements in distributed computing, and the technologies that enable them, have led to significant advancements in middleware functionality and quality, mainly through networking and protocols. However, the distributed programing style has changed little over the years. Most programs are still written line per line of code in languages such as C, C++, and Java. These conventional programs that can provide grid operations and grid data can be considered as common grid resources and shared by research and education communities worldwide. However, there are no relevant programing methodologies to utilize efficiently these shared service providers as a potentially vast grid repository, except through the manual writing of code. Realization of the potential of grid computing requires significant improvements in grid programing methodologies. The Grid interactive service-oriented (GISO) methodology presented provides a programming environment with development tools that permit true int...

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The Open Grid Services Architecture (OGSA) represents an evolution towards a Grid system architecture based on Web services concepts and technologies. It provides a service-oriented view of Grid architectures. This paper proposes a service-oriented Grid computing platform that complies with the OGSA infrastructure. This Grid computing platform aims to support the execution of applications in a Grid environment. The platform is a multi-layer architecture which integrates Grid portal layer, Web server layer and Grid services layer. The fundamental components of this architecture are a pool of Grid services that conform to the OGSI (Open Grid Services Infrastructure) specifications. Each Grid service provides a set of interfaces and operations which characterizes the functionality it offers, and all these Grid services work cooperatively to manage different stages of the execution of Grid applications. As higherlever services, the Grid services are constructed by the composition of the Globus Toolkit core services. The implementation, communication and deployment of these Grid services are based on Web services technologies and protocols.

Concurrency and Computation: Practice and Experience, 2004

of an open service architecture merging computational infrastructure with Grid services and Web services. We also see advantages in adding facilities offered by distributed object computing environments with their interoperable references and services. The use of open service architectures introduces the possibility of composing structures of nested services. In this paper we discuss architectural aspects of middleware for Grid computing based on an infrastructure of distributed clusters and/or also services, and an access portal as a demonstration project in progress.

Computer, 2002

International Conference on Distributed Systems Platforms and Open Distributed Processing/Open Distributed Processing, 2003

In this paper we discuss architectural aspects of middleware for grid computing based on an infrastructure of dis- tributed clusters and/or distributed services, an access portal for a demonstration project in progress, and also some security issues. We observe, in recent works, activities in the direction of open service architectures for grid services and for web services. We also see

There are many definitions of what constitutes a “GridO–the most common of which identifies a Computational Grids as:“a collection of distributed computing resources available over local or wide area networks--and which appear to an end user as one large virtual computing systemO. A significant effort has been invested by the Grid community into building software systems that may be used to manage such a virtual computing system. The Grid approach is an important development for both the business and scientific community ...

Grid and Cooperative Computing, 2004

The grid computing paradigm emerged recently as a new field distinguished from traditional distributed computing because of its focus on large-scale resource sharing and innovative high-performance applications. The grid infrastructure ties together a number of Virtual Organizations, that reflect dynamic collections of individuals, institutions and computational resources. Flexible, secure and coordinated resource sharing among VOs requires the availability of an information rich environment to support resource discovery and decision ...