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Service-Oriented Computing

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Cover of 'Service-Oriented Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Combining Practical and Dialectical Commitments for Service Engagements
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    Chapter 2 Positron: Composing Commitment-Based Protocols
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    Chapter 3 Analysis of Timing Constraints in Heterogeneous Middleware Interactions
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    Chapter 4 Context-Driven Assessment of Provider Reputation in Composite Provision Scenarios
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    Chapter 5 Runtime Model-Based Privacy Checks of Big Data Cloud Services
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    Chapter 6 Optimizing Workload Category for Adaptive Workload Prediction in Service Clouds
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    Chapter 7 On Developing and Operating of Data Elasticity Management Process
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    Chapter 8 Supporting Cloud Service Operation Management for Elasticity
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    Chapter 9 rSLA: Monitoring SLAs in Dynamic Service Environments
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    Chapter 10 AISLE: Assessment of Provisioned Service Levels in Public IaaS-Based Database Systems
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    Chapter 11 Are RESTful APIs Well-Designed? Detection of their Linguistic (Anti)Patterns
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    Chapter 12 Aggregating Functionality, Use History, and Popularity of APIs to Recommend Mashup Creation
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    Chapter 13 Integrating Gaussian Process with Reinforcement Learning for Adaptive Service Composition
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    Chapter 14 Scalable SaaS-Based Process Customization with CaseWalls
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    Chapter 15 Correlation Mining: Mining Process Orchestrations Without Case Identifiers
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    Chapter 16 Verification of GSM-Based Artifact-Centric Systems by Predicate Abstraction
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    Chapter 17 Mining and Querying Process Change Information Based on Change Trees
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    Chapter 18 Property Preservation in Adaptive Case Management
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    Chapter 19 Modelling and Optimizing Bandwidth Provision for Interacting Cloud Services
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    Chapter 20 Four-Fold Auto-Scaling on a Contemporary Deployment Platform Using Docker Containers
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    Chapter 21 An SLA-Based Advisor for Placement of HPC Jobs on Hybrid Clouds
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    Chapter 22 Optimizing Long-term IaaS Service Composition
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    Chapter 23 On the Complexity of QoS-Aware Service Selection Problem
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    Chapter 24 TRACE: A Dynamic Model of Trust for People-Driven Service Engagements
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    Chapter 25 A Context-Aware Approach for Personalised and Adaptive QoS Assessments
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    Chapter 26 Spatio-Temporal Composition of Crowdsourced Services
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    Chapter 27 Design for Adaptation of Distributed Service-Based Systems
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    Chapter 28 Automatic Deployment of Services in the Cloud with Aeolus Blender
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    Chapter 29 Analyzing Resource Behavior to Aid Task Assignment in Service Systems
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    Chapter 30 SenseX: Design and Deployment of a Pervasive Wellness Monitoring Platform for Workplaces
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    Chapter 31 Opportunities for Process Improvement: A Cross-Clientele Analysis of Event Data Using Process Mining
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    Chapter 32 Pricing IT Services Deals: A More Agile Top-Down Approach
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    Chapter 33 SimMon: A Toolkit for Simulating Monitoring Mechanism in Cloud Computing Environments
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    Chapter 34 CASE: A Platform for Crowdsourcing Based API Search
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    Chapter 35 WSTP: Web Services Tagging Platform
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    Chapter 36 Personalized Messaging Engine: The Next Step in Employee Engagement
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    Chapter 37 Offering Context-Aware Personalised Services for Mobile Users
Attention for Chapter 9: rSLA: Monitoring SLAs in Dynamic Service Environments
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Chapter title
rSLA: Monitoring SLAs in Dynamic Service Environments
Chapter number 9
Book title
Service-Oriented Computing
Published by
Springer, Berlin, Heidelberg, November 2015
DOI 10.1007/978-3-662-48616-0_9
Book ISBNs
978-3-66-248615-3, 978-3-66-248616-0
Authors

Heiko Ludwig, Katerina Stamou, Mohamed Mohamed, Nagapramod Mandagere, Bryan Langston, Gabriel Alatorre, Hiroaki Nakamura, Obinna Anya, Alexander Keller

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Researcher 3 18%
Student > Master 3 18%
Professor > Associate Professor 2 12%
Student > Doctoral Student 2 12%
Other 3 18%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 14 82%
Materials Science 1 6%
Engineering 1 6%
Unknown 1 6%