Abstract:
The current grid technology can be viewed as an extension or application of this framework to create a more generic resource sharing context. Grid technology is widely emerging. Still, there is an eminent shortage of real grid users, due to the absence of two important catalysts. A widely accepted vision on how applications can substantially benefit from grids, and second a toolkit of higher-level grid services, tailored to application needs. The grid aims to provide fundamentally new capabilities for applications to exploit the power of grid computing. We present a architecture of grid, middleware and its application technology, a large-scale, grid-empowered applications and then discuss grid general architecture and its grid application. We illustrate how applications can be grid-enabled and discuss grid as an tool for computing services.Keywords:
DRMAA
Data grid
Shared resource
Grid computing has a great potential to become a standard cyber infrastructure for life sciences that often require high-performance computing and large data handling, which exceeds the computing capacity of a single institution. Grid computer applies the resources of many computers in a network to a single problem at the same time. It is useful to scientific problems that require a great number of computer processing cycles or access to a large amount of data.As biologists,we are constantly discovering millions of genes and genome features, which are assembled in a library and distributed on computers around the world.This means that new, innovative methods must be developed that exploit the re-sources available for extensive calculations - for example grid computing.This survey reviews the latest grid technologies from the viewpoints of computing grid, data grid and knowledge grid. Computing grid technologies have been matured enough to solve high-throughput real-world life scientific problems. Data grid technologies are strong candidates for realizing a "resourceome" for bioinformatics. Knowledge grids should be designed not only from sharing explicit knowledge on computers but also from community formulation for sharing tacit knowledge among a community. By extending the concept of grid from computing grid to knowledge grid, it is possible to make use of a grid as not only sharable computing resources, but also as time and place in which people work together, create knowledge, and share knowledge and experiences in a community.
DRMAA
Data grid
Viewpoints
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The grid computing technology is evolving from the emergence to the stable and production status. In the computational science field the grid computing approach for storage and computing element resource sharing is a common way thanks to middleware as the Globus Toolkit and grid environments as the Condor project. In many domain applications, as environmental science, bioinformatics and interactive multimedia delivery, the shared resource is composed by tagged data and contents instead of hardware components. We provide a grid aware component leveraging on our Resource Broker Service implementing a wrap over the world-wide spread OpenDAP scientific data access protocol, ensuring effective and efficient grid based content distribution, and contributing to the "grand challenge" concerning the development of grid-aware software infrastructure for data intensive environmental applications.
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Data grid
Component (thermodynamics)
Shared resource
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Grid Computing is a platform for coordinated resource sharing and problem solving on a global scale among virtual organizations. Grid uses Grid Services to access and use a set of Grid resources. Subsequently, these Grid Services need to be discovered, selected and invoked quickly and efficiently to satisfy the needs of a demanding environment such as Grid. In this paper, we introduce how the Grid Computing takes advantage of the benefits of Semantic Web to manipulate Grid Services obtaining better searches, results and performance.
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Data grid
Shared resource
Grid file
Virtual organization
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Focused on the problems that the development of grid application is difficult and the type of discovered resources is restricted when directly using globus toolkit API, some technologies such as grid container, grid plug-in, grid object pool, grid resource adapter and the subgrid communication protocol for computing grid are introduced, the kernel methods and hiberarchy of computing grid distributed middleware (CGDM) are discussed in this paper. By applying these technologies, the computing grid distributed middleware is realized, which is independent of computing grid portal and grid application. The real application in a campus computing grid development shows that this middleware can make it easy to discover new types of grid resources and lead to a quick grid application developing and interconnection between the subgrids.
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Data grid
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Data grid
Directory service
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Grid technology offers the potential for providing secure access to remote services, thereby promoting scientific collaborations in an unprecedented scale. Grid Resource Management: Toward Virtual and Services Compliant Grid Computing presents a comprehensive account of the architectural issues of grid technology, such as security, data management, logging, and aggregation of services, as well as related technologies. After covering grid usages, grid systems, and the evolution of grid computing, the book discusses operational issues associated with web services and service-oriented architecture. It also explores technical and business topics relevant to data management, the development and characteristics of P2P systems, and a grid-enabled virtual file system (GRAVY) that integrates underlying heterogeneous file systems into a unified location-transparent file system of the grid. The book covers scheduling algorithms, strategies, problems, and architectures as well as workflow managementsystems and semantic technologies. In addition, the authors describe how to deploy scientific applications into a grid environment. They also explain grid engineering and grid service programming. Examining both data and execution management in grid computing, this book chronicles the current trend of grid developments toward a more service-oriented approach that exposes grid protocols using web services standards.
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The current grid technology can be viewed as an extension or application of this framework to create a more generic resource sharing context. Grid technology is widely emerging. Still, there is an eminent shortage of real grid users, due to the absence of two important catalysts. A widely accepted vision on how applications can substantially benefit from grids, and second a toolkit of higher-level grid services, tailored to application needs. The grid aims to provide fundamentally new capabilities for applications to exploit the power of grid computing. We present a architecture of grid, middleware and its application technology, a large-scale, grid-empowered applications and then discuss grid general architecture and its grid application. We illustrate how applications can be grid-enabled and discuss grid as an tool for computing services.
DRMAA
Data grid
Shared resource
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Grid technology consists of middleware that permits distributed computations, data and sensors to be seamlessly integrated into a secure, single-sign-on processing environment. In &is environment, a user has to identify and authenticate himself once to the grid middleware, and then can utilize any of the distributed resources to which he has been,panted access. Grid technology allows resources that exist in enterprises that are under different administrative control to be securely integrated into a single processing environment The grid community has adopted commercial web services technology as a means for implementing persistent, re-usable grid services that sit on top of the basic distributed processing environment that grids provide. These grid services can then form building blocks for even more complex grid services. Each grid service is characterized using the Web Service Description Language, which provides a description of the interface and how other applications can access it. The emerging Semantic grid work seeks to associates sufficient semantic information with each grid service such that applications wii1 he able to automatically select, compose and if necessary substitute available equivalent services in order to assemble collections of services that are most appropriate for a particular application. Grid technology has been used to provide limited support to various Earth and space science applications. Looking to the future, this emerging grid service technology can provide a cyberinfrastructures for both the Earth and space science communities. Groups within these communities could transform those applications that have community-wide applicability into persistent grid services that are made widely available to their respective communities. In concert with grid-enabled data archives, users could easily create complex workflows that extract desired data from one or more archives and process it though an appropriate set of widely distributed grid services discovered using semantic grid technology. As required, high-end computational resources could be drawn from available grid resource pools. Using grid technology, this confluence of data, services and computational resources could easily be harnessed to transform data from many different sources into a desired product that is delivered to a user's workstation or to a web portal though which it could be accessed by its intended audience.
Data grid
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Grid Computing is the third revolution of information technology after internet and web. It will change the mode of sharing distributed resource and services finally. This paper presents a historical record of the advent of Grid, then the new researched in grid architecture was introduced, which is core technology in the design of grid system.
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Data grid
Shared resource
Mode (computer interface)
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