The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
As increasing complexity of scientific computational applications that embrace multiple physical models and require a large range of scales on computing power, demands for interoperable infrastructures steadily have been increasing. Even though heterogeneity of computational resource including large-scale computing power, storage and networks gives difficulty of management on extending resource availability...
The exhibition of China Science and Technology Museum needs to exhibit the specimens of the digital museums and demonstrate the grid technology in a vivid way which meets the requirements from visualization, interaction and multimedia. This paper designs a method of constructing digital museum grid for the purpose of science popularization, based on the existing work of China Education and Research...
Modern e-Science and high technology industry require high-performance and complicated network and computer infrastructure to support distributed collaborating groups of researchers and applications that should be provisioned on-demand. The effective use and management of the dynamically provisioned services can be achieved by using the Service Delivery Framework (SDF) proposed by TeleManagement Forum...
Recently, both networking and high-performance computing technologies have dramatically advanced. As a result, scientists can access large-scale data captured by scientific measurement devices with ease. Also, recent high-performance computing technologies such as the Grid and cloud computing have allowed scientists to use huge computational power harnessed on the Internet for their analysis of scientific...
In research, grid computing is an established way of providing computer resources for information retrieval. However, e-science grids also contain, process and produce documents - thereby acting as digital libraries and requiring means for information discovery. In this paper, we discuss how distributed information retrieval can be integrated into the Open Grid Service Architecture (OGSA) to efficiently...
The interoperability of e-Science infrastructures like DEISA/PRACE and EGEE/EGI is an increasing demand for a wide variety of cross-Grid applications, but interoperability based on common open standards adopted by Grid middleware is only starting to emerge and is not broadly provided today. In earlier work, we have shown how refined open standards form a reference model, which is based on careful...
Scientific researchers have often been the early adopters and co-creators of new technology. Through programmes like e-Science and cyberinfrastructure, the last decade has seen many emerging technologies harnessed for application in a range of research disciplines. Here we discuss some of the technologies that have been promoted, including Grid, Semantic Web and Web 2.0, informed by experience of...
Grid and e-science infrastructure interoperability is an increasing demand for Grid applications but interoperability based on common open standards adopted by Grid middle-wares are only starting to emerge on Grid infrastructures and are not broadly provided today. In earlier work we have shown how open standards can be improved by lessons learned from cross-Grid applications that require access to...
In distributed heterogeneous scenarios, querying data from various sources efficiently and concisely is always a key challenge. In this paper, we analyze the characteristics of hydrological data and study the data integration in grid environment. We propose a query processing procedure based on domain topics and grid infrastructure. Domain topics are defined according to domain query patterns, and...
In the process of a scientific experiment a workflow is executed multiple times using various values of the parameters of activities. For real-world workflows that may contain hundreds of activities, each having several parameters, it is practically not feasible to conduct a parameter sensitivity study by simply following a ”brute-force approach” (that is experimental evaluation of all possible cases)...
With the development of e-science, more and more attention is drawn to the visualization and interoperation of scientific data. Integrating Data Grid technology and Geographical Information System (GIS) offers a well solution to implement e-science applications. Utilizing Data Grid technology could take advantages to share heterogeneous and distributed data sources. GIS provides visualization environment...
In e-Science environment researchers intend to be informed of events related with their works, including the current states of computing services, service workload and so on. So it is necessary to provide a Publish/Subscribe System in e-Science environment. Also there are some issues in Broker Management in Publish/Subscribe System, such as the abnormal breakdown and the overload of broker. An effective...
Even though highly distributed environments such as Clouds and Grids are increasingly used for e-science high performance applications, they still cannot deliver the robustness and reliability needed for widespread acceptance as ubiquitous scientific tools. To overcome this problem, existing systems resort to fault tolerance mechanisms such as task replication and task resubmission. In this paper...
Whereas the available resources and storage capabilities constitute the most important limitation for researchers in experiments to be performed, increasing availability of high-performance computing resources, provided by the Grid, has allowed many e-Science communities to proceed with new challenging experiments, especially involving expense and complex specialized measurement instrumentation and...
Service-oriented architecture builds software applications from large numbers of loosely coupled distributed services, while workflow technology coordinates these distributed services to achieve a shared task or goal. Scientific workflow is becoming researching hotspot along with the e-science and cyber-infrastructure applications, which run in the grid environment. Therefore, selection and scheduling...
In e-science environment researchers can submit complex tasks as scientific workflows. However, because the network may be blocked or even interrupted sometimes, it can hinder the researchers to submit tasks, as well as the overload on the server. Additionally, many tasks submitted by researchers may use the same resources, which may result in the overload of the specific resources. Meanwhile, some...
Scientific workflows have shown great benefit as a means of orchestrating complex distributed scientific computations over grids and speed the advance of scientific progress. To address some requirements of scientific experiment, such as result reproducibility, sharing and validation, provenance support has become an essential component of scientific workflow systems. With the increase of the amount...
The Grid provides access to execution and storage resources - through middleware - by normalizing the access to resources. UNICORE calls this quality dasiaseamlessnesspsila. One result of this is that a request for some action at one resource can, with relative ease, be re-targeted to another, making possible the coordinated usage of multiple resources. In this paper we describe a seamless interface...
With the advent of grid and service-oriented technologies, scientific workflows have been introduced in response to the increasing demand of researchers for assembling diverse, highly-specialized applications, allowing them to exchange large heterogeneous datasets in order to accomplish a complex scientific task. Much research has already been done to provide efficient scientific workflow management...
Predominantly used in scientific contexts, Grid Computing imposes constraints related to the underlying infrastructure, forcing in many cases users to rethink or rewrite their applications. Inspired by Amazonpsilas EC2 model, this paper presents a virtualization based system (GliteVM) that allows users to address this issue allowing them to execute any existing application in a gLite based Grid infrastructure...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.