eScience on Distributed Computing Infrastructure

eScience on Distributed Computing Infrastructure
Author :
Publisher : Springer
Total Pages : 547
Release :
ISBN-10 : 9783319108940
ISBN-13 : 3319108948
Rating : 4/5 (40 Downloads)

Book Synopsis eScience on Distributed Computing Infrastructure by : Marian Bubak

Download or read book eScience on Distributed Computing Infrastructure written by Marian Bubak and published by Springer. This book was released on 2014-08-25 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Science Gateways for Distributed Computing Infrastructures

Science Gateways for Distributed Computing Infrastructures
Author :
Publisher : Springer
Total Pages : 308
Release :
ISBN-10 : 9783319112688
ISBN-13 : 3319112686
Rating : 4/5 (88 Downloads)

Book Synopsis Science Gateways for Distributed Computing Infrastructures by : Péter Kacsuk

Download or read book Science Gateways for Distributed Computing Infrastructures written by Péter Kacsuk and published by Springer. This book was released on 2014-10-28 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book describes the science gateway building technology developed in the SCI-BUS European project and its adoption and customization method, by which user communities, such as biologists, chemists, and astrophysicists, can build customized, domain-specific science gateways. Many aspects of the core technology are explained in detail, including its workflow capability, job submission mechanism to various grids and clouds, and its data transfer mechanisms among several distributed infrastructures. The book will be useful for scientific researchers and IT professionals engaged in the development of science gateways.

Grid Computing

Grid Computing
Author :
Publisher : CRC Press
Total Pages : 529
Release :
ISBN-10 : 9781420067682
ISBN-13 : 1420067680
Rating : 4/5 (82 Downloads)

Book Synopsis Grid Computing by : Lizhe Wang

Download or read book Grid Computing written by Lizhe Wang and published by CRC Press. This book was released on 2018-10-03 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: Identifies Recent Technological Developments Worldwide The field of grid computing has made rapid progress in the past few years, evolving and developing in almost all areas, including concepts, philosophy, methodology, and usages. Grid Computing: Infrastructure, Service, and Applications reflects the recent advances in this field, covering the research aspects that involve infrastructure, middleware, architecture, services, and applications. Grid Systems Across the Globe The first section of the book focuses on infrastructure and middleware and presents several national and international grid systems. The text highlights China Research and Development environment Over Wide-area Network (CROWN), several ongoing cyberinfrastructure efforts in New York State, and Enabling Grids for E-sciencE (EGEE), which is co-funded by the European Commission and the world’s largest multidisciplinary grid infrastructure today. The second part of the book discusses recent grid service advances. The authors examine the UK National Grid Service (NGS), the concept of resource allocation in a grid environment, OMIIBPEL, and the possibility of treating scientific workflow issues using techniques from the data stream community. The book describes an SLA model, reviews portal and workflow technologies, presents an overview of PKIs and their limitations, and introduces PIndex, a peer-to-peer model for grid information services. New Projects and Initiatives The third section includes an analysis of innovative grid applications. Topics covered include the WISDOM initiative, incorporating flow-level networking models into grid simulators, system-level virtualization, grid usage in the high-energy physics environment in the LHC project, and the Service Oriented HLA RTI (SOHR) framework. With a comprehensive summary of past advances, this text is a window into the future of this nascent technology, forging a path for the next generation of cyberinfrastructure developers.

Data Driven e-Science

Data Driven e-Science
Author :
Publisher : Springer Science & Business Media
Total Pages : 526
Release :
ISBN-10 : 9781441980144
ISBN-13 : 1441980148
Rating : 4/5 (44 Downloads)

Book Synopsis Data Driven e-Science by : Simon C. Lin

Download or read book Data Driven e-Science written by Simon C. Lin and published by Springer Science & Business Media. This book was released on 2011-02-04 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Automated Optimization Methods for Scientific Workflows in e-Science Infrastructures

Automated Optimization Methods for Scientific Workflows in e-Science Infrastructures
Author :
Publisher : Forschungszentrum Jülich
Total Pages : 207
Release :
ISBN-10 : 9783893369492
ISBN-13 : 389336949X
Rating : 4/5 (92 Downloads)

Book Synopsis Automated Optimization Methods for Scientific Workflows in e-Science Infrastructures by : Sonja Holl

Download or read book Automated Optimization Methods for Scientific Workflows in e-Science Infrastructures written by Sonja Holl and published by Forschungszentrum Jülich. This book was released on 2014 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Parallel Processing and Applied Mathematics

Parallel Processing and Applied Mathematics
Author :
Publisher : Springer
Total Pages : 622
Release :
ISBN-10 : 9783319321493
ISBN-13 : 3319321498
Rating : 4/5 (93 Downloads)

Book Synopsis Parallel Processing and Applied Mathematics by : Roman Wyrzykowski

Download or read book Parallel Processing and Applied Mathematics written by Roman Wyrzykowski and published by Springer. This book was released on 2016-04-05 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 9573 and LNCS 9574 constitutes the refereed proceedings of the 11th International Conference of Parallel Processing and Applied Mathematics, PPAM 2015, held in Krakow, Poland, in September 2015.The 111 revised full papers presented in both volumes were carefully reviewed and selected from 196 submissions. The focus of PPAM 2015 was on models, algorithms, and software tools which facilitate efficient and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications, including big data problems.

Big Data

Big Data
Author :
Publisher : Morgan Kaufmann
Total Pages : 496
Release :
ISBN-10 : 9780128093467
ISBN-13 : 0128093463
Rating : 4/5 (67 Downloads)

Book Synopsis Big Data by : Rajkumar Buyya

Download or read book Big Data written by Rajkumar Buyya and published by Morgan Kaufmann. This book was released on 2016-06-07 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data's full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues. - Covers computational platforms supporting Big Data applications - Addresses key principles underlying Big Data computing - Examines key developments supporting next generation Big Data platforms - Explores the challenges in Big Data computing and ways to overcome them - Contains expert contributors from both academia and industry