Data-Intensive Workflow Management: For Clouds and Data-Intensive and Scalable Computing Environments (Synthesis Lectures on Data Management)

Sprache: Englisch

Verlag: Morgan & Claypool Publishers, 2019

1681735571 / 9781681735573

Anbieter: Leopolis, Kraków, PolenLeopolis

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei ZVAB seit 6. Januar 2016

Softcover

Zustand: Neu

EUR 25,94

EUR 65,00 Versand 
Versand von Polen nach USA

Anzahl: 1 verfügbar

In den Warenkorb
30 Tage kostenlose Rückgabe

Artikelbeschreibung des Verkäufers

8vo (23.5 cm), XVII, 161 pp. Laminated wrappers. Synopsis: 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.…

Bestandsnummer des Verkäufers 008464

Titel
Data-Intensive Workflow Management: For Clouds and Data-Intensive and Scalable Computing Environments (Synthesis Lectures on Data Management)
Autor
De Oliveira, Daniel C. M.; Liu, Ji; Pacitti, Esther
Verlag
Morgan & Claypool Publishers
Erscheinungsjahr
2019
Zustand
New
Einband
Soft cover
Sprache
Englisch
ISBN-10
1681735571
ISBN-13
9781681735573
Verkäuferkataloge
Data science, Science

Leopolis

Kraków, Polen

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei ZVAB seit 6. Januar 2016

Versandkosten von Polen nach USA

Artikel5 bis 10 Werktage5 bis 10 Werktage
Erster ArtikelEUR 65,00EUR 65,00
Die Versandzeiten werden von den Verkäuferinnen und Verkäufern festgelegt. Sie variieren je nach Versanddienstleister und Standort. Sendungen, die den Zoll passieren, können Verzögerungen unterliegen. Eventuell anfallende Abgaben oder Gebühren sind von der Käuferin bzw. dem Käufer zu tragen. Die Verkäuferin bzw. der Verkäufer kann Sie bezüglich zusätzlicher Versandkosten kontaktieren, um einen möglichen Anstieg der Versandkosten für Ihre Artikel auszugleichen.

Zahlungsarten

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay
  • Banküberweisung
  • Bar
  • PayPal
  • Rechnung

Shopbeschreibung

Specializing in mathematical sciences, Church Slavonic and Slavic books, Eastern European history, travels and topography, bibliography, history and art of the book, history of libraries and collections

Unternehmensdaten der Verkäuferin bzw. des Verkäufers

Leopolis Volodymyr Dmyterko

Krowoderska 33 / 7A
Kraków, Polen 31141