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OverviewThis books is open access under a CC BY 4.0 license. This book summarizes work being undertaken within the collaborative MODAClouds research project, which aims to facilitate interoperability between heterogeneous Cloud platforms and remove the constraints of deployment, portability, and reversibility for end users of Cloud services. Experts involved in the project provide a clear overview of the MODAClouds approach and explain how it operates in a variety of applications. While the wide spectrum of available Clouds constitutes a vibrant technical environment, many early-stage issues pose specific challenges from a software engineering perspective. MODAClouds will provide methods, a decision support system, and an open source IDE and run-time environment for the high-level design, early prototyping, semiautomatic code generation, and automatic deployment of applications on multiple Clouds. It will free developers from the need to commit to a fixed Cloud technologystack during software design and offer benefits in terms of cost savings, portability of applications and data between Clouds, reversibility (moving applications and data from Cloud to non-Cloud environments), risk management, quality assurance, and flexibility in the development process. Full Product DetailsAuthor: Elisabetta Di Nitto , Peter Matthews , Dana Petcu , Arnor SolbergPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2017 Dimensions: Width: 15.50cm , Height: 0.90cm , Length: 23.50cm Weight: 2.526kg ISBN: 9783319460307ISBN 10: 3319460307 Pages: 149 Publication Date: 02 January 2017 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- Cloud Service Offer Selection.- The MODAClouds Model-Driven Development.- QoS Assessment and SLA Management.- Monitoring in a Multi-Cloud Environment.- Load Balancing for Multi-Cloud.- Fault-tolerant Off-line Data Migration: The Hegira4Clouds Approach. -Deployment of Cloud Supporting Services.- Models@Runtime for Continuous Design and Deployment.- Cloud Patterns.- Modelio Project Management Server Constellation.- BPM in the Cloud: The BOC Case.- Healthcare Application.- Operation Control Interfaces.- Conclusion and Future Research.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |