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Cloud computing for engineering applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cloud computing for engineering applicationsby Benito A. Stradi-Granados.
Author:	Stradi-Granados, Benito A.
Published:	Cham :Springer International Publishing :2020.
Description:	xxxiii, 357 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Cloud computing.
Online resource:	https://doi.org/10.1007/978-3-030-40445-1
ISBN:	9783030404451$q(electronic bk.)

Cloud computing for engineering applications
Stradi-Granados, Benito A.

Cloud computing for engineering applications[electronic resource] /by Benito A. Stradi-Granados. - Cham :Springer International Publishing :2020. - xxxiii, 357 p. :ill., digital ;24 cm.

Introduction -- The Use of Cloud Computing for Engineering Applications -- From the office to the cloud, why should you care? -- Generating a Model -- Building a Prototype -- Motion Studies -- MATLAB PRIMER -- Shell Installation.

This book explains the use of cloud computing systems for engineering applications to satisfy the need for enterprise level, state-of-the-art computational capacities at an affordable cost. As huge costs are involved in the maintenance and timely renovation of computational capabilities, particularly for projects that require significant computational capacity, cloud services can achieve considerable savings for users and organizations engaged in engineering research and development. Dr. Stradi explains how to extract a maximum value from every dollar invested in cloud computer server. The types of facilities located around the world that lease their resources to customers interested in reducing the internal overhead and implementation time. The volume features chapters on model generation, motion studies, and prototyping is ideal for students, researchers, practitioners, and facilities managers across a range of engineering domains. Introduces computation in the cloud for engineering projects and delineates why readers should care; Explains management strategies for the most cost-effective use of computational cloud capacity; Discusses best practices in implementation and start-up to keep costs low; Illustrates cloud computing use and capabilities with well developed examples starting from scratch in COMSOL®, MATLAB® and SOLIDWORKS®.

ISBN: 9783030404451$q(electronic bk.)

Standard No.: 10.1007/978-3-030-40445-1doiSubjects--Topical Terms:

378527
Cloud computing.

LC Class. No.: QA76.585 / .S773 2020

Dewey Class. No.: 004.6782

Cloud computing for engineering applications
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505 0 $a Introduction -- The Use of Cloud Computing for Engineering Applications -- From the office to the cloud, why should you care? -- Generating a Model -- Building a Prototype -- Motion Studies -- MATLAB PRIMER -- Shell Installation.
520 $a This book explains the use of cloud computing systems for engineering applications to satisfy the need for enterprise level, state-of-the-art computational capacities at an affordable cost. As huge costs are involved in the maintenance and timely renovation of computational capabilities, particularly for projects that require significant computational capacity, cloud services can achieve considerable savings for users and organizations engaged in engineering research and development. Dr. Stradi explains how to extract a maximum value from every dollar invested in cloud computer server. The types of facilities located around the world that lease their resources to customers interested in reducing the internal overhead and implementation time. The volume features chapters on model generation, motion studies, and prototyping is ideal for students, researchers, practitioners, and facilities managers across a range of engineering domains. Introduces computation in the cloud for engineering projects and delineates why readers should care; Explains management strategies for the most cost-effective use of computational cloud capacity; Discusses best practices in implementation and start-up to keep costs low; Illustrates cloud computing use and capabilities with well developed examples starting from scratch in COMSOL®, MATLAB® and SOLIDWORKS®.
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650 2 4 $a Data Storage Representation. $3 277024
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