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A Grid based implementation of a system for finding duplicates in large databases is described. The solution is scalable to many nodes and does not suffer the problems found in other implementations that can result of loss of data and/or deadlock. The system may be applied to conventional de-duplication problems such as found in address management as well as more advanced problems such as banned image...
The topic of natural disaster management -- prediction, prevention, or minimization of their impact is an important topic for scientific research. The advances in computer simulation and highperformance computing in recent years have highly extended the possibilities in this field, and have changed the ways in which natural disaster management systems operate. This paper describes evolution of one...
In this paper we present a general domain for the analysis of workflows and workflow components based on the notion of a collection of Turing machines sharing a set of tapes. We show that computationally equivalent workflows can be evaluated in terms of two dimensions: data complexity and process complexity. We show that this approach allows for the evaluation of various workflow architectures. Using...
In e-Science, a Grid environment enables data and computing intensive tasks and provides a new supporting infrastructure for scientific experiments. Scientific workflow management systems (SWMS) hide the integration details among Grid resources and allow scientists to prototype an experimental computing system at a high level of abstraction. However, the development of an effective SWMS requires profound...
The idea of an application described through its workflow is becoming popular in the Grid community as a natural method of functional decomposition of an application. It shows all the important dependencies as a set of connections of data flow and/or control flow. As scientific workflows grow in size and complexity, a tool to assist end users is becoming necessary. In this paper we describe the formal...
An increasingly popular application programming model for Grids is to deploy often-used functionalities as remote services on high-performance hosts, following the principles of a service-oriented architecture. Complex applications are created by using several services and specifying a workflow between them. We discuss how workflows of Grid applications can be described easily as High-Level Petri...
This paper discusses the process of building an environment where large-scale, complex, scientific analysis can be scheduled onto a heterogeneous collection of computational and storage resources. The example application is the Southern California Earthquake Center (SCEC) CyberShake project, an analysis designed to compute probabilistic seismic hazard curves for sites in the Los Angeles area. We explain...
Grid workflows for e-science are complex and prone to failures. However, there is a lack of performance monitoring and analysis tools for supporting the user as well as workflow middleware to monitor and understand the performance of complex interactions among Grid applications, middleware and resources involved in workflow executions. In this paper, we present a novel integrated environment which...
Recent developments in the field of Grid computing reveal the strong need of managing metadata on much higher level than it used to be done previously. Standard solutions like MDS provide relatively efficient means of managing Grid resources on a low level basis, usually available for Grid experts and simple search tools. However in order to manage resources among multiple Virtual Organizations composed...
A goal of the Geosciences Network (GEON) is to develop cyber-infrastructure that will allow earth scientists to discover access, integrate and disseminate knowledge in distributed environments such as the Web, changing the way in which research is conducted. The earth sciences community has begun the complex task of creating ontologies to support this effort. A challenge is to coalesce the needs of...
Static scheduling and execution of Grid workflows is prone to severe performance losses due to inaccurate predictions or the dynamic nature of the Grid environment. In this paper we present an online tool for analysing the performance overheads that appear during the real-time execution of workflow applications in Grid environments. We employ event correlation techniques and a distributed superpeer...
Explorative research is a vital part of biological sciences. Biologists frequently have to examine and compare multiple (large) sets of biological data in an interactive and explorative manner. Exploring alternative ways of examining the data and managing the necessary resources often require substantial (manual) effort and time. In this paper, we present a concrete example of how VLAM, a grid-based...
Numerous Grid workflow engines exist, each generally specialized for a single application domain such as protein folding. Although the underlying purpose and functionality of the Grid workflow engines are similar, and they make use of a common set of Grid protocols, the implementations vary vastly, making interoperation among them nearly impossible. On the other hand, the concept of workflows of Web...
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