Data Intensive Workflow Management
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Data Intensive Workflow Management
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Author : Daniel C. M. de Oliveira
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Data Intensive Workflow Management written by Daniel C. M. de Oliveira and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.
Workflows may be defined as abstractions used to model the coherent flow of activities in the context of an in silico scientific experiment. They are employed in many domains of science such as bioinformatics, astronomy, and engineering. Such workflows usually present a considerable number of activities and activations (i.e., tasks associated with activities) and may need a long time for execution. Due to the continuous need to store and process data efficiently (making them data-intensive workflows), high-performance computing environments allied to parallelization techniques are used to run these workflows. At the beginning of the 2010s, cloud technologies emerged as a promising environment to run scientific workflows. By using clouds, scientists have expanded beyond single parallel computers to hundreds or even thousands of virtual machines. More recently, Data-Intensive Scalable Computing (DISC) frameworks (e.g., Apache Spark and Hadoop) and environments emerged and are being used to execute data-intensive workflows. DISC environments are composed of processors and disks in large-commodity computing clusters connected using high-speed communications switches and networks. The main advantage of DISC frameworks is that they support and grant efficient in-memory data management for large-scale applications, such as data-intensive workflows. However, the execution of workflows in cloud and DISC environments raise many challenges such as scheduling workflow activities and activations, managing produced data, collecting provenance data, etc. Several existing approaches deal with the challenges mentioned earlier. This way, there is a real need for understanding how to manage these workflows and various big data platforms that have been developed and introduced. As such, this book can help researchers understand how linking workflow management with Data-Intensive Scalable Computing can help in understanding and analyzing scientific big data. In this book, we aim to identify and distill the body of work on workflow management in clouds and DISC environments. We start by discussing the basic principles of data-intensive scientific workflows. Next, we present two workflows that are executed in a single site and multi-site clouds taking advantage of provenance. Afterward, we go towards workflow management in DISC environments, and we present, in detail, solutions that enable the optimized execution of the workflow using frameworks such as Apache Spark and its extensions.
Data Intensive Workflow Management
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Author : Daniel C. M. de Oliveira
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2019-05-13
Data Intensive Workflow Management written by Daniel C. M. de Oliveira and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-13 with Computers categories.
Workflows may be defined as abstractions used to model the coherent flow of activities in the context of an in silico scientific experiment. They are employed in many domains of science such as bioinformatics, astronomy, and engineering. Such workflows usually present a considerable number of activities and activations (i.e., tasks associated with activities) and may need a long time for execution. Due to the continuous need to store and process data efficiently (making them data-intensive workflows), high-performance computing environments allied to parallelization techniques are used to run these workflows. At the beginning of the 2010s, cloud technologies emerged as a promising environment to run scientific workflows. By using clouds, scientists have expanded beyond single parallel computers to hundreds or even thousands of virtual machines. More recently, Data-Intensive Scalable Computing (DISC) frameworks (e.g., Apache Spark and Hadoop) and environments emerged and are being used to execute data-intensive workflows. DISC environments are composed of processors and disks in large-commodity computing clusters connected using high-speed communications switches and networks. The main advantage of DISC frameworks is that they support and grant efficient in-memory data management for large-scale applications, such as data-intensive workflows. However, the execution of workflows in cloud and DISC environments raise many challenges such as scheduling workflow activities and activations, managing produced data, collecting provenance data, etc. Several existing approaches deal with the challenges mentioned earlier. This way, there is a real need for understanding how to manage these workflows and various big data platforms that have been developed and introduced. As such, this book can help researchers understand how linking workflow management with Data-Intensive Scalable Computing can help in understanding and analyzing scientific big data. In this book, we aim to identify and distill the body of work on workflow management in clouds and DISC environments. We start by discussing the basic principles of data-intensive scientific workflows. Next, we present two workflows that are executed in a single site and multi-site clouds taking advantage of provenance. Afterward, we go towards workflow management in DISC environments, and we present, in detail, solutions that enable the optimized execution of the workflow using frameworks such as Apache Spark and its extensions.
Data Intensive Workflow Management
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Author : Daniel Oliveira
language : en
Publisher: Springer
Release Date : 2019-05-13
Data Intensive Workflow Management written by Daniel Oliveira and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-13 with Computers categories.
Workflows may be defined as abstractions used to model the coherent flow of activities in the context of an in silico scientific experiment. They are employed in many domains of science such as bioinformatics, astronomy, and engineering. Such workflows usually present a considerable number of activities and activations (i.e., tasks associated with activities) and may need a long time for execution. Due to the continuous need to store and process data efficiently (making them data-intensive workflows), high-performance computing environments allied to parallelization techniques are used to run these workflows. At the beginning of the 2010s, cloud technologies emerged as a promising environment to run scientific workflows. By using clouds, scientists have expanded beyond single parallel computers to hundreds or even thousands of virtual machines. More recently, Data-Intensive Scalable Computing (DISC) frameworks (e.g., Apache Spark and Hadoop) and environments emerged and are being used to execute data-intensive workflows. DISC environments are composed of processors and disks in large-commodity computing clusters connected using high-speed communications switches and networks. The main advantage of DISC frameworks is that they support and grant efficient in-memory data management for large-scale applications, such as data-intensive workflows. However, the execution of workflows in cloud and DISC environments raise many challenges such as scheduling workflow activities and activations, managing produced data, collecting provenance data, etc. Several existing approaches deal with the challenges mentioned earlier. This way, there is a real need for understanding how to manage these workflows and various big data platforms that have been developed and introduced. As such, this book can help researchers understand how linking workflow management with Data-Intensive Scalable Computing can help in understanding and analyzing scientific big data. In this book, we aim to identify and distill the body of work on workflow management in clouds and DISC environments. We start by discussing the basic principles of data-intensive scientific workflows. Next, we present two workflows that are executed in a single site and multi-site clouds taking advantage of provenance. Afterward, we go towards workflow management in DISC environments, and we present, in detail, solutions that enable the optimized execution of the workflow using frameworks such as Apache Spark and its extensions.
Scheduling Data Intensive Workflows
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Author : Tim H. Wong
language : en
Publisher:
Release Date : 2006
Scheduling Data Intensive Workflows written by Tim H. Wong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Enterprise Resource Planning Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2013-06-30
Enterprise Resource Planning Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-30 with Business & Economics categories.
The design, development, and use of suitable enterprise resource planning systems continue play a significant role in ever-evolving business needs and environments. Enterprise Resource Planning: Concepts, Methodologies, Tools, and Applications presents research on the progress of ERP systems and their impact on changing business needs and evolving technology. This collection of research highlights a simple framework for identifying the critical factors of ERP implementation and statistical analysis to adopt its various concepts. Useful for industry leaders, practitioners, and researchers in the field.
Data Processing And Workflow Scheduling In Cluster Computing Systems
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Author : Srinath Shankar
language : en
Publisher:
Release Date : 2008
Data Processing And Workflow Scheduling In Cluster Computing Systems written by Srinath Shankar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
The Handbook Of Computer Networks Distributed Networks Network Planning Control Management And New Trends And Applications
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Author : Hossein Bidgoli
language : en
Publisher:
Release Date : 2008
The Handbook Of Computer Networks Distributed Networks Network Planning Control Management And New Trends And Applications written by Hossein Bidgoli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Business & Economics categories.
The Handbook of Computer Networks is the third set of reference books from leading author and Professor of Management Information Systems at California State University, Bakersfield, Hossein Bidgoli. The Handbook of Computer Networks is designed to arm researchers, practitioners, students, and managers with in-depth understanding of this important and fast growing field in its broadest scope and in an applied and functional framework. Each volume incorporates state of the art core information and networking topics, practical applications and coverage of the emerging issues in the computer networking and data communications fields.
Internet Based Workflow Management
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Author : Dan C. Marinescu
language : en
Publisher: Wiley-Interscience
Release Date : 2002-04-24
Internet Based Workflow Management written by Dan C. Marinescu and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-04-24 with Business & Economics categories.
Internet-based business transactions can be broken down into a series of independent steps. This workflow often involves tools from an array of fields, such as network modeling, scheduling, distributed systems, artificial intelligence, software agents, and Java. This book serves as a single, comprehensive resource for IT practitioners and students that covers all these vital aspects of workflow management.
Proceedings Of The 1998 Acm Sigmod International Conference On Management Of Data
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Author : Laura Haas
language : en
Publisher: Association for Computing Machinery (ACM)
Release Date : 1998
Proceedings Of The 1998 Acm Sigmod International Conference On Management Of Data written by Laura Haas and has been published by Association for Computing Machinery (ACM) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
Proceedings Of The 1997 Acm Sigmod International Conference On Management Of Data
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Author : Joan M Peckman
language : en
Publisher: Association for Computing Machinery (ACM)
Release Date : 1997
Proceedings Of The 1997 Acm Sigmod International Conference On Management Of Data written by Joan M Peckman and has been published by Association for Computing Machinery (ACM) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.