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In this paper, we describe the design and implementation of two mechanisms for fault-tolerance and recovery for complex scientific workflows on computational grids. We present our algorithms for over-provisioning and migration, which are our primary strategies for fault-tolerance. We consider application performance models, resource reliability models, network latency and bandwidth and queue wait...
Grids allow for collaborative e-Research to be undertaken, often across institutional and national boundaries. Typically this is through the establishment of virtual organizations (VOs) where policies on access and usage of resources across partner sites are defined and subsequently enforced. For many VOs, these agreements have been lightweight and erred on the side of flexibility with minimal constraints...
In this paper, we present a portable simulation environment GridMate for large-scale adaptive scientific applications in multi-site Grid environments. GridMate is a discrete-event based simulator, consisting of abstractions of trace-based applications, computing resources, partitioners and schedulers, a 3D visualization tool, and user interfaces. It supports the analysis of runtime management strategies...
Workflow manager is a useful tool that brings the power of computational grid resources to the desktop, and allow them to conveniently put together and run their own scientific workflows. In existing workflow systems, individual tasks wait for input to be available perform computation, and produce output. Behind this, workflow manager automates the data movement from the data generating task to the...
Scientific data grid mostly deals with large computational problems. It provides geographically distributed resources for large-scale data-intensive applications that generate large scientific data sets. This required the scientist in modern scientific computing communities involve in managing massive amounts of a very large data collections that geographically distributed. Research in the area of...
With quick evolution of grid technologies and increasing complexity of e-science applications, reasoning temporal properties of grid workflows to ensure reliability and trustworthiness is becoming a critical issue. Relaxed region analysis (RRA) is proposed in this work for performance optimization of grid workflow verification by decomposing workflows into separate standard regions with parallel branches...
In this paper, we present the design of Aneka, a .NET based service-oriented platform for desktop grid computing that provides: (i) a configurable service container hosting pluggable services for discovering, scheduling and balancing various types of workloads and (ii) a flexible and extensible framework/API supporting various programming models including threading, batch processing, MPI and dataflow...
In federated Data Grids, individual institutions share their data sets within a community to enable collaborative data analysis. Data access needs to be provided in a scalable fashion since in most e-science communities, data sets do not only grow exponentially but also experience an increasing popularity. If data autonomy is retained, each individual institution has to ensure efficient access to...
In a distributed grid environment with ambitious service demands the job submission and management interfaces provide functionality of major importance. Emerging e-science and grid infrastructures such as EGEE and DEISA rely on highly available services that are capable of managing scientific jobs. It is the adoption of emerging open standard interfaces which allows the distribution of grid resources...
This paper demonstrates the use of appropriate programming abstractions - SAGA and cactus - that facilitate the development of applications for distributed infrastructure. SAGA provides a high-level programming interface to Grid- functionality; Cactus is an extensible, component based framework for scientific applications. We show how SAGA can be integrated with cactus to develop simple, useful and...
Grid is a seamless integration varied resources that are geographically distributed around the globe aiming to provide gigantic computational power. The heterogeneous, decentralized and distributed nature of Grid environment places special requirement for Grid applications management. With a large number of scientists eager to use the Grid, the need of the hour is to provide a means through which...
The following topics are discussed: e-science and grid computing; grid programming; data management and curation; bioinformatics; scheduling; communications; materials science; resource discovery and allocation; semantics; grid development; problem solving environment; grid interoperability; and scientific workflows and business workflow standards.
Interoperability between the grid middlewares gLite, used in European grid infrastructure EGEE, and GOS, used in the Chinese grid infrastructure CNGRID infrastructure, is one of the main activities of the EUChinaGRID project. The EUChinaGRID project is an initiative, funded by the European Commission, to extend the European GRID infrastructure for e-Science to China. The first aim of EUChinaGRID is...
Great changes have taken place in Grid Technology field and various grids are constructed for sharing data and collaborating in a large scale model of cross-organization and cross-region. However, technologies of existing grids are different from each other and many grid islands appear. The interoperation among different grids becomes more and more challenging for building a global grid and extending...
The current grid computing model is based on a set of independent computing clusters, with only a thin common software layer among them and grid users are expected to adapt. However, scientists are supposed to do science and time spent on computing problems is subtracting time available for scientific thinking. In this paper we present the glidein approach that aims to make the grid computing as easy...
We examine the potential impact of Web 2.0 approaches to e-science and Grid computing. We provide an analysis of Web service and Grid computing core concepts, which we then map to corresponding concepts in Web 2.0 systems. As we show, Web 2.0, taken collectively, must be viewed as a comprehensive distributed computing approach. We then examine social bookmarking and tagging as an exemplary Web 2.0...
Portlet-based grid portals have become a crucial part of the cyberinfrastructure by providing component-based problem solving environments for scientists. Although portals aim to provide user-friendly environments with easy-to-use interfaces, the development of portals and their portlet components is time consuming. We aim to provide reusable components for rapid portlet development. Our approach...
Grids have emerged as wide-scale, distributed infrastructures providing enough resources for always more demanding scientific experiments. EGEE is one of the largest scientific grids in production operation today, with over 220 sites and more than 30,000 CPU all over the world. A further evolution of EGEE needs to be based on knowledge of deficiencies and bottleneck of the current infrastructure and...
We describe an information service that aggregates metadata available in hundreds of information sources of the EGEE Grid infrastructure. It uses an ontology-based information integration architecture (ActOn), which is suitable the highly dynamic distributed information sources available in Grid systems, where information changes frequently and where the information of distributed sources has to be...
In 2006 National Academy of Sciences of Ukraine approved the project for development of grid technologies in Ukraine. Since then an extensive work is carried out in order to build a full-scale grid infrastructure for scientific and educational institutions. This article deals with the aspects of building such infrastructure, its organization and peculiarities of implementation in Ukraine, shows the...
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