Data Driven E Science

Data Driven e Science PDF Book Detail:
Author: Simon C. Lin
Publisher: Springer Science & Business Media
ISBN: 1441980148
Size: 13.97 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 517
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Book Description: ISGC 2010, The International Symposium on Grid Computing was held at Academia Sinica, Taipei, Taiwan, March, 2010. The 2010 symposium brought together prestigious scientists and engineers worldwide to exchange ideas, present challenges/solutions and to discuss new topics in the field of Grid Computing. Data Driven e-Science: Use Cases and Successful Applications of Distributed Computing Infrastructures (ISGC 2010), an edited volume, introduces the latest achievements in grid technology for Biomedicine Life Sciences, Middleware, Security, Networking, Digital Library, Cloud Computing and more. This book provides Grid developers and end users with invaluable information for developing grid technology and applications. The last section of this book presents future development in the field of Grid Computing. This book is designed for a professional audience composed of grid users, developers and researchers working in the field of grid computing. Advanced-level students focused on computer science and engineering will also find this book valuable as a reference or secondary text book.

E Science And Information Management

E Science and Information Management PDF Book Detail:
Author: Serap Kurbanoglu
Publisher: Springer
ISBN: 3642332994
Size: 44.25 MB
Format: PDF
Category : Language Arts & Disciplines
Languages : en
Pages : 183
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Book Description: This book constitutes the refereed proceedings of the Third International Symposium on Information Management in a Changing World, IMCW 2012, held in Ankara, Turkey, in September 2012. The 16 revised full papers presented together with three keynotes were carefully reviewed and selected from more than 30 submissions. The papers are organized in topical sections on e-science and information management; scholarly communication and institutional repositories; information literacy and academic libraries; different perspectives on information management.

Automated Optimization Methods For Scientific Workflows In E Science Infrastructures

Automated Optimization Methods for Scientific Workflows in e Science Infrastructures PDF Book Detail:
Author: Sonja Holl
Publisher: Forschungszentrum Jülich
ISBN: 389336949X
Size: 38.59 MB
Format: PDF
Category :
Languages : en
Pages : 182
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Book Description: 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.

Escience On Distributed Computing Infrastructure

eScience on Distributed Computing Infrastructure PDF Book Detail:
Author: Marian Bubak
Publisher: Springer
ISBN: 3319108948
Size: 68.71 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 538
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Book Description: To help researchers from different areas of science understand and unlock the potential of the Polish Grid Infrastructure and to define their requirements and expectations, the following 13 pilot communities have been organized and involved in the PLGrid Plus project: Acoustics, AstroGrid-PL, Bioinformatics, Ecology, Energy Sector, Health Sciences, HEPGrid, Life Science, Materials, Metallurgy, Nanotechnologies, Quantum Chemistry and Molecular Physics, and SynchroGrid. The book describes the experience and scientific results achieved by the project partners. Chapters 1 to 8 provide a general overview of research and development activities in the framework of the project with emphasis on services for different scientific areas and an update on the status of the PL-Grid infrastructure, describing new developments in security and middleware. Chapters 9 to 13 discuss new environments and services which may be applied by all scientific communities. Chapters 14 to 36 present how the PLGrid Plus environments, tools and services are used in advanced domain specific computer simulations; these chapters present computational models, new algorithms, and ways in which they are implemented. The book also provides a glossary of terms and concepts. This book may serve as a resource for researchers, developers and system administrators working on efficient exploitation of available e-infrastructures, promoting collaboration and exchange of ideas in the process of constructing a common European e-infrastructure.

Web Services Research For Emerging Applications Discoveries And Trends

Web Services Research for Emerging Applications  Discoveries and Trends PDF Book Detail:
Author: Zhang, Liang-Jie
Publisher: IGI Global
ISBN: 161520685X
Size: 36.69 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 720
View: 5000

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Book Description: "This book provides a comprehensive assessment of the latest developments in Web services research, focusing on composing and coordinating Web services, XML security, and service oriented architecture, and presenting new and emerging research in the Web services discipline"--Provided by publisher.

Workflows For E Science

Workflows for e Science PDF Book Detail:
Author: Ian J. Taylor
Publisher: Springer Science & Business Media
ISBN: 9781846287572
Size: 53.34 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 526
View: 3292

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Book Description: This is a timely book presenting an overview of the current state-of-the-art within established projects, presenting many different aspects of workflow from users to tool builders. It provides an overview of active research, from a number of different perspectives. It includes theoretical aspects of workflow and deals with workflow for e-Science as opposed to e-Commerce. The topics covered will be of interest to a wide range of practitioners.

Applied Data Science

Applied Data Science PDF Book Detail:
Author: Martin Braschler
Publisher: Springer
ISBN: 9783030118204
Size: 39.50 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 465
View: 4895

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Book Description: This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement for a classical textbook (i.e., it does not elaborate on fundamentals of methods and principles described elsewhere), but systematically highlights the connection between theory, on the one hand, and its application in specific use cases, on the other. With these goals in mind, the book is divided into three parts: Part I pays tribute to the interdisciplinary nature of data science and provides a common understanding of data science terminology for readers with different backgrounds. These six chapters are geared towards drawing a consistent picture of data science and were predominantly written by the editors themselves. Part II then broadens the spectrum by presenting views and insights from diverse authors – some from academia and some from industry, ranging from financial to health and from manufacturing to e-commerce. Each of these chapters describes a fundamental principle, method or tool in data science by analyzing specific use cases and drawing concrete conclusions from them. The case studies presented, and the methods and tools applied, represent the nuts and bolts of data science. Finally, Part III was again written from the perspective of the editors and summarizes the lessons learned that have been distilled from the case studies in Part II. The section can be viewed as a meta-study on data science across a broad range of domains, viewpoints and fields. Moreover, it provides answers to the question of what the mission-critical factors for success in different data science undertakings are. The book targets professionals as well as students of data science: first, practicing data scientists in industry and academia who want to broaden their scope and expand their knowledge by drawing on the authors’ combined experience. Second, decision makers in businesses who face the challenge of creating or implementing a data-driven strategy and who want to learn from success stories spanning a range of industries. Third, students of data science who want to understand both the theoretical and practical aspects of data science, vetted by real-world case studies at the intersection of academia and industry.

Understanding Information Retrieval Systems

Understanding Information Retrieval Systems PDF Book Detail:
Author: Marcia J. Bates
Publisher: CRC Press
ISBN: 1466551356
Size: 30.37 MB
Format: PDF
Category : Business & Economics
Languages : en
Pages : 752
View: 110

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Book Description: In order to be effective for their users, information retrieval (IR) systems should be adapted to the specific needs of particular environments. The huge and growing array of types of information retrieval systems in use today is on display in Understanding Information Retrieval Systems: Management, Types, and Standards, which addresses over 20 typ

Data Driven Science And Engineering

Data Driven Science and Engineering PDF Book Detail:
Author: Steven L. Brunton
Publisher: Cambridge University Press
ISBN: 1108422098
Size: 10.70 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 500
View: 2580

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Book Description: This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.