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In many research domains, support from computing technology is seen as a major tool for obtaining scientific breakthroughs. This involves many different kinds of technologies from networking, supercomputing and storage technologies often provided within so-called e-infrastructures. At present, Europe is preparing the next step in consolidation of its e-infrastructures. This concerns particularly the...
In the last years, grid computing has emerged as a valuable service to solve complex computational problems in many scientific and industrial domains. Quality of Service (QoS) provision for these applications is therefore a key challenge for high speed Next Generation Networks and cross-layer mechanisms, enabling the development of network-aware grids, should be introduced. This paper takes into account,...
The ever increasing scale and complexity of large computational systems ask for sophisticated management tools, paving the way toward autonomic computing. A first step toward autonomic grids is presented in this paper; the interactions between the grid middleware and the stream of computational queries are modeled using statistical learning. The approach is implemented and validated in the context...
In recent years the power of Grid computing has grown exponentially through the development of advanced middleware systems. While usage has increased, the penetration of Grid computing in the scientific community has been less than expected by some. This is due to a steep learning curve and high entry barrier that limit the use of Grid computing and advanced cyberinfrastructure. In order for the scientists...
From personal software to advanced systems, caching mechanisms have steadfastly been a ubiquitous means for reducing workloads. It is no surprise, then, that under the grid and cluster paradigms, middlewares and other large-scale applications often seek caching solutions. Among these distributed applications, scientific workflow management systems have gained ground towards mitigating the often painstaking...
Workflow execution time predictions for Grid infrastructures is of critical importance for optimized workflow executions, advance reservations of resources, and overhead analysis. Predicting workflow execution time is complex due to multeity of workflow structures, involvement of several Grid resources in workflow execution, complex dependencies of workflow activities and dynamic behavior of the Grid...
Acknowledged as important factors for business environments operating as virtual organizations (VOs), trust and reputation are receiving attention also in Grids devoted to scientific applications where problems of finding suitable models and architectures for flexible security management of heterogeneous resources arise. Being these resources highly heterogeneous (from individual users to whole organizations...
Many emerging science experiments require that the massive data generated by big instruments be accessible and analyzed by a large number of geographically dispersed users. Such large scale science experiments are enabled by an optical grid infrastructure which integrates grid software with a WDM network. This paper studies the following problem in an optical grid environment: given an online job...
Many Scientific Groups could obtain significant computational power if they integrated the diverse computational resources and the computational clusters they own. In this paper, we present a methodology to accomplish this without the implementational and administrative complexity that might be imposed by commercial and noncommercial integration frameworks. The proposed methodology also offers the...
Developing, maintaining and accessing complex information repositories are some of the main concerns of todaypsilas information society. In huge distributed systems, guaranteeing good performances and data integrity is a real challenge when using standard relational databases. This paper presents a database concept methodology that addresses these concerns under the form of an ldquoRDBMS independentrdquo...
Delegation is a key facility in dynamic, distributed and collaborative environments like Grids and enables an effective use of a wide range of dynamic applications. Traditional delegation frameworks approach a top-down model of delegation for delegating rights from a superior to a subordinate in advance before a delegate starts off a delegated task. However, a top-down model of delegation cannot meet...
Within the Austrian Grid project phase 2, three different groups, each allocated to a different work package, join their efforts to implement a grid infrastructure for the european research project "Breath Gas Analysis for molecular oriented diseases''. This position paper provides background on the task and the resulting requirements, a presentation on solutions developed during related projects...
The Grid is evolving and new concepts like Semantic Grid, Knowledge Grid are rapidly emerging, where humans and distributed machines share, exchange, and manage data and resources intelligently. Computational scientists typically use workflows to describe and manage scientific discovery processes. However, the credibility of the obtained results in the scientific community is questionable if the computational...
This paper describes the application hosting services (AHS) that are a part of the Japan e-science project following NAREGI project. AHS provides application catalog information for the applications in the multiple grid environments that are deployed in heavy duty grid environments and lightweight laboratory level grid environments to users. In addition, community members can co-share applications...
Scientific communities are increasingly exposing information and tools as online services in an effort to abstract complex scientific processes and large data sets. Clients are then able to access services without knowledge of their internal workings therefore simplifying the process of replicating scientific research. Taking a service-oriented approach to science (SOS) facilitates reuse, extension,...
Domain scientists synthesize different data and computing resources to solve their scientific problems. Making use of distributed execution within scientific workflows is a growing and promising way to achieve better execution performance and efficiency. This paper presents a high-level distributed execution framework, which is designed based on the distributed execution requirements identified within...
Simulation and thus scientific computing is the third pillar alongside theory and experiment in todays science and engineering. The term e-science evolved as a new research field that focuses on collaboration in key areas of science using next generation infrastructures to extend the powers of scientific computing. This paper contributes to the field of e-science as a study of how scientists actually...
Next generation research works across institutional boundaries, disciplines, even across language and culture. Grid and repository technologies both address these requirements, yet, they have - up to now - developed largely isolated from each other. The grid and the repository community can benefit greatly from a convergence of their respective technologies towards an integrated content- and context-aware...
E-Science users will want to construct, share, execute and monitor sequence of tasks. These tasks may execute on machines ranging from their local workstations to high-end, grid-enabled compute resources. Often, these tasks are legacy applications written in various programming and scripting languages and are designed to be run in a single user environment rather than as a Web application. These tasks...
The coming of the e-science era provides more opportunities to improve the work of scientists by integrating sensors, resources, and services in GRID and Internet environments. We can expect much more improvement in scientists' work if they are supported by an appropriate tool. In this paper, we propose an e-science workbench that helps scientists design and perform their e-science experiments on...
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