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Cloud Computing for Enterprise Architectures

Overview of attention for book
Cover of 'Cloud Computing for Enterprise Architectures'

Table of Contents

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    Book Overview
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    Chapter 1 Cloud Computing for Enterprise Architectures: Concepts, Principles and Approaches
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    Chapter 2 Enterprise Architecture Fundamentals
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    Chapter 3 Cloud Computing Business Models
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    Chapter 4 The Convergence of Enterprise Architecture (EA) and Cloud Computing
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    Chapter 5 Component-Based Development for Cloud Computing Architectures
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    Chapter 6 Identity and Access Management in Cloud Computing
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    Chapter 7 A Cloud Architecture for Educational Enterprises: A Case Study in Robotics
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    Chapter 8 Cloud Computing: An Enabler in Developing Business Models for Global Enterprises
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    Chapter 9 Using Common Logic to Provide a Semantic Enterprise Architecture Framework for Cloud Computing
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    Chapter 10 The Cloud Challenges for Enterprise Architects
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    Chapter 11 Service Level Agreements in Cloud Computing: Perspectives of Private Consumers and Small-to-Medium Enterprises
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    Chapter 12 Enterprise HPC on the Clouds
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    Chapter 13 Cloud Computing and the Emerging Market
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    Chapter 14 Fair Non-repudiation Framework for Cloud Storage: Part I
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    Chapter 15 Fair Non-repudiation Framework for Cloud Storage: Part II
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    Chapter 16 Clowns, Crowds, and Clouds: A Cross-Enterprise Approach to Detecting Information Leakage Without Leaking Information
Attention for Chapter 12: Enterprise HPC on the Clouds
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Readers on

6 Mendeley
1 CiteULike
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Chapter title
Enterprise HPC on the Clouds
Chapter number 12
Book title
Cloud Computing for Enterprise Architectures
Published by
Springer, London, January 2011
DOI 10.1007/978-1-4471-2236-4_12
Book ISBNs
978-1-4471-2235-7, 978-1-4471-2236-4

Ioannis A. Moschakis, Helen D. Karatza

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Student > Doctoral Student 2 33%
Student > Bachelor 1 17%
Professor > Associate Professor 1 17%
Readers by discipline Count As %
Computer Science 4 67%
Business, Management and Accounting 1 17%
Economics, Econometrics and Finance 1 17%