Software Architecture for Big Data and the Cloud 1st Edition by Ivan Mistrik, Rami Bahsoon, Nour Ali, Maritta Heisel, Bruce Maxim- Ebook PDF Instant Download/Delivery: 9780128054673, 0128054670
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Product details:
ISBN 10: 0128054670
ISBN 13: 9780128054673
Author: Ivan Mistrik, Rami Bahsoon, Nour Ali, Maritta Heisel, Bruce Maxim
Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity.
The book’s editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors.
Table of contents:
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Introduction. Software Architecture for Cloud and Big Data: An Open Quest for the Architecturally Significant Requirements
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Hyperscalability – The Changing Face of Software Architecture
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Architecting to Deliver Value From a Big Data and Hybrid Cloud Architecture
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Domain-Driven Design of Big Data Systems Based on a Reference Architecture
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An Architectural Model-Based Approach to Quality-Aware DevOps in Cloud Applications
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Bridging Ecology and Cloud: Transposing Ecological Perspective to Enable Better Cloud Autoscaling
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Evaluating Web PKIs
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Performance Isolation in Cloud-Based Big Data Architectures
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From Legacy to Cloud: Risks and Benefits in Software Cloud Migration
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Big Data: A Practitioners Perspective
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A Taxonomy and Survey of Stream Processing Systems
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Architecting Cloud Services for the Digital Me in a Privacy-Aware Environment
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Reengineering Data-Centric Information Systems for the Cloud – A Method and Architectural Patterns Promoting Multitenancy
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Exploring the Evolution of Big Data Technologies
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A Taxonomy and Survey of Fault-Tolerant Workflow Management Systems in Cloud and Distributed Computing Environments
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The HARNESS Platform: A Hardware- and Network-Enhanced Software System for Cloud Computing
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Auditable Version Control Systems in Untrusted Public Clouds
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Scientific Workflow Management System for Clouds
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Outlook and Future Directions
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Tags: Ivan Mistrik, Rami Bahsoon, Nour Ali, Maritta Heisel, Bruce Maxim, Software, Architecture, Big Data, Cloud