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Compute-intensive scientific applications are heavily reliant on the available quantity of computing resources. The Grid paradigm provides a large scale computing environment for scientific users. However, conventional Grid job submission tools do not provide a high-level job scheduling environment for these users across multiple institutions. For extremely large number of jobs, a more scalable job...
Grid computing technology is able to integrate and share large-scale distributed computation and data resource to facilitate the scientific researches. Recently, the grid workflow support and large-scale distributed data management are becoming two main requirements of scientists and researchers in many fields, such as bioinformatics, high-energy physics etc. In this paper, we proposed to support...
Many scientific applications produce a lot of data when running on large-scale supercomputers. Sometimes this data can stay on the local storages but often it should be transferred to other resources for post processing or to be used for new computations. Therefore it is essential to have efficient file transfer mechanisms that transfer data. Scientists increasingly use Grid middleware like UNICORE...
SWF, short for scientific workflow, has recently emerged as a paradigm for orchestrating large-scale e-Science applications. SWF specification connects workflow designer with workflow engine, which makes it act ass one of the key components in SWF systems. We adopted BPEL as the Gird-based SWF specification because of its potential benefits to promote SWF sharing and reproducibility. However, grid-based...
Existing knowledge based grid workflow languages and composition tools require sophisticated expertise of domain scientists in order to automate the process of managing workflows and its components (activities). So far semantic workflow specification and management has not been addressed from a general and integrated perspective. This paper presents a novel domain oriented approach which features...
A challenge for Grid computing is the difficulty in developing software that is parallel, distributed and highly dynamic. Whilst there have been many general purpose mechanisms developed over the years, Grid programming still remains a low level, error prone task. Scientific workflow engines can double as programming environments, and allow a user to compose dasiavirtualpsila Grid applications from...
Several widely utilized, grid workflow management systems emerged in the last decade. These systems were developed by different scientific communities for various purposes. Enhancing these systems with the capability of invoking and nesting the workflows of other systems within their native workflows makes these communities to be able to carry out cross-organizational experiments and share non-native...
Scientists are increasingly using scientific workflow environment to manage large data sets and execute experiments on distributed resources. Scientific workflows have become an important mechanism for scientists to combine scientific data management, analysis, simulation, and visualization tasks. However, most of the environments don't fully hide the complexity of the underlying orchestration language...
This paper describes experiences of specifying and building e-GrOV, an infrastructure for developing scientific environments (i.e., observatories) that can process huge amounts of astronomical data and exploit the computing capabilities distributed among a Grid. E-GrOV is composed of three nodes distributed located in the University of las Americas, Puebla (UDLA), Mexican National Institute of Astrophysics,...
We explore the status, challenges and opportunities in providing a resource center focused on large scale data management on the EGEE grid, in the context of the emerging Spanish e-science network. The application to bulky and relatively flat datasets in high energy physics is mature and in daily production. Transferring this methodology to other application fields is still ongoing, posing challenges...
Wireless grid is a collection of distributed computing resources such as low-powered mobile, patient monitoring sensors, wired grid and nomadic devices over a wide geographical connectivity that appear to an end-user as one large virtual computing system. The wireless grid has emerged as an attractive platform to tackle various large scale problems or applications, especially in science, medical and...
Before the emergence of the concept e-science, applications and resources in research and scientific areas have existed as grid applications. In order to use the already existing applications and resources efficiently in e-science, an urgent problem to the "grid people" is how to integrate those heritage grid systems as the grid-based applications. There are many grid applications are well...
The following topics are dealt with: computational science and engineering; advanced networking and applications; distributed and parallel computing; scientific computing; embedded and ubiquitous computing; grid computing; P2P, Web, and Internet computing; engineering computing; HPC applications; intelligent and bio-inspired computing; database, data mining and analysis; mobile computing and wireless...
This paper introduces the innovative Grid-based RTSOA frameworks, and specializes these frameworks to the exciting context of Data Transformation services over Grids, which play a significant role in the context of data-intensive e-science Grid applications. Also, in order to efficiently support Grid-based RTSOA frameworks, we provide a complete model based on the data compression/approximation paradigm,...
Scheduling a scientific workflow onto a computational grid is considered. A computational grid can be regarded as a heterogeneous parallel machine such that the speed of each processor varies over time. A scientific workflow can be modeled as a DAG of tasks. This paper focuses on a coarse-grained workflow. So, any communication delay between tasks is negligible because computation time of every task...
Remote visualization service is an indispensable part for super computing center and network computing services. We present a web-based remote visualization system architecture - ScVisGrid. It provides a web-based interface for end users to access visualization resources in SCCAS by launching visualization tasks in interactive mode. With component-based visualization framework, the existing standalone...
Selection of resources for execution of scientific workflows in data grids becomes challenging with the exponential growth of files as a result of the distribution of scientific experiments around the world. With more runs of these experiments, huge number of data-files produced can be made available from numerous resources. There is lack of work in optimal selection of data-hosts and compute resources...
To utilize an e-Science application service which is built on a grid computing environment efficiently, it is vital to develop technologies for integrating each e- Science application service into a workflow and to execute the workflow in a cooperative environment. In this paper, the required workflow in e-Science is analyzed using a conceptual scenario and categorized into three types of workflows:...
In high performance computing field such as climate, biology, we often need to integrate resources across distributed, heterogeneous, and autonomous systems to enable e-scientists to solve complex scientific problems in collaborative way. However, current resource (service) collaboration methods still suffer from either low efficiency for automatically building a composition plan because of the involved...
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