Workflows For E Science

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Workflows For E Science

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Author : Ian J. Taylor
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-31

Workflows For E Science written by Ian J. Taylor and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-31 with Computers categories.

This collection of articles on ‘Work?ows for e-Science’ is very timely and - portant. Increasingly, to attack the next generation of scienti?c problems, multidisciplinary and distributed teams of scientists need to collaborate to make progress on these new ‘Grand Challenges’. Scientists now need to access and exploit computational resources and databases that are geographically distributed through theuseof high speed networks. ‘Virtual Organizations’ or ‘VOs’ must be established that span multiple administrative domains and/or institutions and which can provide appropriate authentication and author- ation services and access controls to collaborating members. Some of these VOsmayonlyhavea?eetingexistencebutthelifetimeofothersmayrun into many years. The Grid community is attempting to develop both sta- ards and middleware to enable both scientists and industry to build such VOs routinely and robustly. This, of course, has been the goal of research in distributed computing for many years; but now these technologies come with a new twist service orie- ation. By specifying resources in terms of a service description, rather than allowing direct access to the resources, the IT industry believes that such an approach results in the construction of more robust distributed systems. The industry has therefore united around web services as the standard technology toimplementsuchserviceorientedarchitecturesandtoensureinteroperability between di?erent vendor systems.

Guide To E Science

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Author : Xiaoyu Yang
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-26

Guide To E Science written by Xiaoyu Yang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-26 with Computers categories.

This guidebook on e-science presents real-world examples of practices and applications, demonstrating how a range of computational technologies and tools can be employed to build essential infrastructures supporting next-generation scientific research. Each chapter provides introductory material on core concepts and principles, as well as descriptions and discussions of relevant e-science methodologies, architectures, tools, systems, services and frameworks. Features: includes contributions from an international selection of preeminent e-science experts and practitioners; discusses use of mainstream grid computing and peer-to-peer grid technology for “open” research and resource sharing in scientific research; presents varied methods for data management in data-intensive research; investigates issues of e-infrastructure interoperability, security, trust and privacy for collaborative research; examines workflow technology for the automation of scientific processes; describes applications of e-science.

Workflows For E Science

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Author :
language : en
Publisher:
Release Date : 2007

Workflows For E Science written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computational grids (Computer systems) categories.

Automated Optimization Methods For Scientific Workflows In E Science Infrastructures

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Author : Sonja Holl
language : en
Publisher: Forschungszentrum Jülich
Release Date : 2014

Automated Optimization Methods For Scientific Workflows In E Science Infrastructures written by Sonja Holl and has been published by Forschungszentrum Jülich this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.

Scientific workflows have emerged as a key technology that assists scientists with the design, management, execution, sharing and reuse of in silico experiments. Workflow management systems simplify the management of scientific workflows by providing graphical interfaces for their development, monitoring and analysis. Nowadays, e-Science combines such workflow management systems with large-scale data and computing resources into complex research infrastructures. For instance, e-Science allows the conveyance of best practice research in collaborations by providing workflow repositories, which facilitate the sharing and reuse of scientific workflows. However, scientists are still faced with different limitations while reusing workflows. One of the most common challenges they meet is the need to select appropriate applications and their individual execution parameters. If scientists do not want to rely on default or experience-based parameters, the best-effort option is to test different workflow set-ups using either trial and error approaches or parameter sweeps. Both methods may be inefficient or time consuming respectively, especially when tuning a large number of parameters. Therefore, scientists require an effective and efficient mechanism that automatically tests different workflow set-ups in an intelligent way and will help them to improve their scientific results. This thesis addresses the limitation described above by defining and implementing an approach for the optimization of scientific workflows. In the course of this work, scientists’ needs are investigated and requirements are formulated resulting in an appropriate optimization concept. In a following step, this concept is prototypically implemented by extending a workflow management system with an optimization framework, including general mechanisms required to conduct workflow optimization. As optimization is an ongoing research topic, different algorithms are provided by pluggable extensions (plugins) that can be loosely coupled with the framework, resulting in a generic and quickly extendable system. In this thesis, an exemplary plugin is introduced which applies a Genetic Algorithm for parameter optimization. In order to accelerate and therefore make workflow optimization feasible at all, e-Science infrastructures are utilized for the parallel execution of scientific workflows. This is empowered by additional extensions enabling the execution of applications and workflows on distributed computing resources. The actual implementation and therewith the general approach of workflow optimization is experimentally verified by four use cases in the life science domain. All workflows were significantly improved, which demonstrates the advantage of the proposed workflow optimization. Finally, a new collaboration-based approach is introduced that harnesses optimization provenance to make optimization faster and more robust in the future.

Information Technology In Bio And Medical Informatics Itbam 2010

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Author : Sami Khuri
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-08-18

Information Technology In Bio And Medical Informatics Itbam 2010 written by Sami Khuri and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-18 with Computers categories.

This book constitutes the thoroughly refereed proceedings of the First International Conference on InformationTechnology in Bio- and Medical Informatics, held in Bilbao, Spain, in September 2010. The 14 selected long papers and 8 selected short papers are divided in the following groups:Workflow management and database; Decision support and data management in biomedicine; Medical data modelling and information retrieval; Data mining in bioinformatics; Knowledge representation and data management in bioinformatics; Biological data and signal processing.

Data Provenance And Data Management In Escience

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Author : Qing Liu
language : en
Publisher: Springer
Release Date : 2012-08-04

Data Provenance And Data Management In Escience written by Qing Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-04 with Technology & Engineering categories.

This book covers important aspects of fundamental research in data provenance and data management(DPDM), including provenance representation and querying, as well as practical applications in such domains as clinical trials, bioinformatics and radio astronomy.

A Framework For Model Driven Scientific Workflow Engineering

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Author : Guido Scherp
language : en
Publisher: BoD – Books on Demand
Release Date : 2013-11-06

A Framework For Model Driven Scientific Workflow Engineering written by Guido Scherp and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-06 with Computers categories.

Scientific workflows are one important means in the context of data-intensive science for reliable and efficient scientific data processing in distributed computing infrastructures such as Grids. A common trend is to adapt existing and established business workflow technologies instead of developing own technologies from scratch. This thesis provides a model-driven approach for scientific workflow engineering, in which domain-specific languages (DSLs) tailored for a certain scientific domain are used for scientific workflow modeling, and automated mapping techniques for technical execution are developed and evaluated. The Business Process Model and Notation (BPMN) is thereby used at the domain-specific layer and the Web Services Business Process Execution Language (BPEL) at the technical layer. The implementation uses the Eclipse Modeling Framework (EMf) and is evaluated in three application scenarios.

Workflow Management

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Author : Wil van der Aalst
language : en
Publisher: MIT Press
Release Date : 2004

Workflow Management written by Wil van der Aalst and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Business & Economics categories.

A comprehensive introduction to workflow management.

Cloud Computing With E Science Applications

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Author : Olivier Terzo
language : en
Publisher: CRC Press
Release Date : 2017-12-19

Cloud Computing With E Science Applications written by Olivier Terzo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Computers categories.

The amount of data in everyday life has been exploding. This data increase has been especially significant in scientific fields, where substantial amounts of data must be captured, communicated, aggregated, stored, and analyzed. Cloud Computing with e-Science Applications explains how cloud computing can improve data management in data-heavy fields such as bioinformatics, earth science, and computer science. The book begins with an overview of cloud models supplied by the National Institute of Standards and Technology (NIST), and then: Discusses the challenges imposed by big data on scientific data infrastructures, including security and trust issues Covers vulnerabilities such as data theft or loss, privacy concerns, infected applications, threats in virtualization, and cross-virtual machine attack Describes the implementation of workflows in clouds, proposing an architecture composed of two layers—platform and application Details infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS) solutions based on public, private, and hybrid cloud computing models Demonstrates how cloud computing aids in resource control, vertical and horizontal scalability, interoperability, and adaptive scheduling Featuring significant contributions from research centers, universities, and industries worldwide, Cloud Computing with e-Science Applications presents innovative cloud migration methodologies applicable to a variety of fields where large data sets are produced. The book provides the scientific community with an essential reference for moving applications to the cloud.