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Advances in Service-Oriented and Cloud Computing

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Cover of 'Advances in Service-Oriented and Cloud Computing'

Table of Contents

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    Book Overview
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    Chapter 1 A Scheduling Strategy to Run Hadoop Jobs on Geodistributed Data
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    Chapter 2 CloudFIT, a PaaS Platform for IoT Applications over Pervasive Networks
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    Chapter 3 Design of an IoT Cloud System for Container Virtualization on Smart Objects
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    Chapter 4 A Federated System for MapReduce-Based Video Transcoding to Face the Future Massive Video-Selfie Sharing Trend
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    Chapter 5 Internet Service Provision and Content Services: Peering and Service Differentiation
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    Chapter 6 Security Requirements in a Federated Cloud Networking Architecture
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    Chapter 7 A Lightweight Method for Analysing Performance Dependencies Between Services
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    Chapter 8 Automated Prediction of the QoS of Service Orchestrations: PASO at Work
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    Chapter 9 A Workflow Service Mediator for Automated Information Processing and Scheduling Delivery to an Archive
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    Chapter 10 Adaptive Architectural Model for Future Internet Applications
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    Chapter 11 A Model-Based Approach for the Pragmatic Deployment of Service Choreographies
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    Chapter 12 Supporting Cloud Service Selection with a Risk-Driven Cost-Benefit Analysis
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    Chapter 13 Multi-level Adaptations in a CloudWave Infrastructure: A Telco Use Case
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    Chapter 14 Axe: A Novel Approach for Generic, Flexible, and Comprehensive Monitoring and Adaptation of Cross-Cloud Applications
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    Chapter 15 Migrating to Cloud-Native Architectures Using Microservices: An Experience Report
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    Chapter 16 Cloud Computing for e-Sciences at Université Sorbonne Paris Cité
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    Chapter 17 Resource Distribution Estimation for Data-Intensive Workloads: Give Me My Share & No One Gets Hurt!
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    Chapter 18 Supporting Partial Database Migration to the Cloud Using Non-intrusive Software Adaptations: An Experience Report
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    Chapter 19 Cloud Adoption by Fine-Grained Resource Adaptation: Price Determination of Diagonally Scalable IaaS
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    Chapter 20 Digitization – Perspectives for Conceptualization
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    Chapter 21 A Scientometric Analysis of Cloud Computing and QoE Literature to Design a Cloud Platform of Experience for Digital Business
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    Chapter 22 Enabling Digital Transformation Using Secure Decisions as a Service
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    Chapter 23 Exploring Requirements for Multipurpose Crowd Computing Framework
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    Chapter 24 Adaptive Enterprise Architecture for Digital Transformation
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    Chapter 25 BEACON: A Cloud Network Federation Framework
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    Chapter 26 Federated Networking Services in Multiple OpenStack Clouds
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    Chapter 27 Networking Introspection and Analysis for Virtual Machine Migration in Federated Clouds
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    Chapter 28 SHYAM: A System for Autonomic Management of Virtual Clusters in Hybrid Clouds
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    Chapter 29 A Database-Specific Pattern for Multi-cloud High Availability and Disaster Recovery
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    Chapter 30 An OpenStack-Based Implementation of a Volunteer Cloud
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    Chapter 31 Cloud Services Composition Through Semantically Described Patterns: A Case Study
Attention for Chapter 24: Adaptive Enterprise Architecture for Digital Transformation
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Citations

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Chapter title
Adaptive Enterprise Architecture for Digital Transformation
Chapter number 24
Book title
Advances in Service-Oriented and Cloud Computing
Published by
Springer International Publishing, April 2016
DOI 10.1007/978-3-319-33313-7_24
Book ISBNs
978-3-31-933312-0, 978-3-31-933313-7
Authors

Alfred Zimmermann, Rainer Schmidt, Dierk Jugel, Michael Möhring

Editors

Antonio Celesti, Philipp Leitner

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Brazil 1 <1%
Unknown 101 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 25%
Student > Ph. D. Student 12 12%
Lecturer 6 6%
Researcher 5 5%
Student > Doctoral Student 5 5%
Other 17 17%
Unknown 32 31%
Readers by discipline Count As %
Computer Science 31 30%
Business, Management and Accounting 16 16%
Engineering 14 14%
Economics, Econometrics and Finance 4 4%
Social Sciences 2 2%
Other 4 4%
Unknown 32 31%