Model-Driven Development and Operation of Multi-Cloud Applications : : The MODAClouds Approach.
Saved in:
Superior document: | SpringerBriefs in Applied Sciences and Technology Series |
---|---|
: | |
TeilnehmendeR: | |
Place / Publishing House: | Cham : : Springer International Publishing AG,, 2017. Ã2017. |
Year of Publication: | 2017 |
Edition: | 1st ed. |
Language: | English |
Series: | SpringerBriefs in Applied Sciences and Technology Series
|
Online Access: | |
Physical Description: | 1 online resource (154 pages) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Intro
- Preface
- Contents
- 1 Introduction
- 1.1 Context
- 1.2 Motivation
- 1.3 Related Work
- 1.4 The MODAClouds Approach
- 1.5 The MODAClouds Toolbox
- 1.6 Book Objectives
- References
- 2 Cloud Service Offer Selection
- 2.1 Introduction: Selecting Services for Agile Application Development
- 2.2 Decision Support System for Cloud Service Selection
- 2.3 Cloud Service Description Standardization
- 2.4 Data Gathering in Multi-Cloud Environments
- 2.5 Coping with Complexity in SaaS
- 2.6 Decision Support Tools for Cloud Service Selection
- 2.7 Technical Challenges and Implementation
- 2.8 Conclusion: Evolution of Cloud Services, Decision Support and Future Work
- Reference
- 3 The MODAClouds Model-Driven Development
- 3.1 Introduction
- 3.2 The Design-Time Development Process
- 3.3 Overall Language Architecture
- 3.4 MODACloudML Sub Models
- 3.4.1 CCIM Models
- 3.4.2 Example
- 3.4.3 CPIM and CPSM Models
- 3.4.4 Example
- 3.5 Related Work
- 3.6 Conclusion
- References
- 4 QoS Assessment and SLA Management
- 4.1 Introduction
- 4.2 Case Study: Meeting in the Cloud (MiC)
- 4.3 QoS Assessment and Optimisation
- 4.3.1 Assessment
- 4.3.2 Optimisation
- 4.3.3 LINE
- 4.4 SLA Management
- References
- 5 Monitoring in a Multi-cloud Environment
- 5.1 Introduction
- 5.2 Tower 4Clouds Architecture
- 5.3 Application Configuration Model
- 5.4 Monitoring Rules
- 5.5 Conclusion
- References
- 6 Load Balancing for Multi-cloud
- 6.1 Introduction
- 6.2 Load Balancing Controller
- 6.3 Load Balancing Reasoner
- 6.4 Multi-cloud Load Balancing
- 6.4.1 Usage Scenario of Multi-cloud Load Balancing
- 6.5 Load Balancing and Failure Management
- 6.6 Conclusion
- References
- 7 Fault-Tolerant Off-line Data Migration: The Hegira4Clouds Approach
- 7.1 Introduction
- 7.2 Hegira4Clouds Intermediate Meta-Model.
- 7.3 Architecture and Fault Tolerance Features
- 7.3.1 Virtual Data Partitioning
- 7.3.2 Recovering from Faults
- 7.4 Evaluation: Migrating Tweets
- 7.5 Discussion and Conclusion
- References
- 8 Deployment of Cloud Supporting Services
- 8.1 Introduction
- 8.2 MODAClouds Execution Platform
- 8.2.1 mOS
- 8.2.2 Platform Sub-systems
- 8.3 Supporting Services
- 8.3.1 Object Store
- 8.3.2 Artifact Repository
- 8.3.3 Load Balancer Controller
- 8.3.4 Batch Engine
- 8.4 Conclusions
- References
- 9 Models@Runtime for Continuous Design and Deployment
- 9.1 Introduction
- 9.2 The Models@Runtime Approach
- 9.3 The MODAClouds Models@Runtime Engine
- 9.3.1 The Comparison Engine
- 9.3.2 Adaptation Commands
- 9.3.3 State Tracking
- 9.3.4 Interaction with the Models@Runtime Engine
- 9.4 Related Work
- 9.5 Conclusion
- References
- 10 Closing the Loop Between Ops and Dev
- 10.1 Introduction
- 10.2 FG Architecture
- 10.2.1 FG Analyzer
- 10.2.2 FG Actuator
- 10.2.3 FG Reporter
- 10.3 Workflow
- 10.4 Estimation Techniques for FG Analysis
- 10.4.1 A Bayesian Approach Based on Queue-Lengths
- 10.4.2 A Maximum-Likelihood Approach Based on Queue-Lengths and Response Times
- 10.5 Conclusion
- References
- 11 Cloud Patterns
- 11.1 Introduction
- 11.2 Motivational Guidance
- 11.3 MODAClouds-Specific Patterns
- 11.4 Conclusions
- References
- 12 Modelio Project Management Server Constellation
- 12.1 Introduction
- 12.2 Proposed Architecture
- 12.3 Use of MODAClouds Design and Runtime Components
- 12.3.1 Modelling with Creator 4Clouds
- 12.3.2 Multi-cloud Deployment with CloudML 4Clouds
- 12.3.3 Cost and Performance Analysis with SPACE 4Clouds
- 12.3.4 Multi-cloud Monitoring and Management with Energizer 4Clouds
- 12.4 Conclusion
- References
- 13 BPM in the Cloud: The BOC Case
- 13.1 Introduction.
- 13.2 Context and Motivation
- 13.3 Application Scenario
- 13.3.1 Cloud Provider Selection
- 13.3.2 Application Deployment to Multiple Clouds
- 13.3.3 Cloud Application Monitoring
- 13.3.4 Cloud to Cloud Migration
- 13.4 Conclusion and General Recommendations
- References
- 14 Healthcare Application
- 14.1 Introduction
- 14.2 EHealth Cloud Solution: Why to Deploy It in a Multi-Cloud Environment?
- 14.3 Risks and Problems
- 14.4 EHealth and MODAClouds: The Story
- 14.5 Conclusions
- References
- 15 Operation Control Interfaces
- 15.1 Introduction
- 15.2 Language for Triggers Description
- 15.3 Architecture of the Trigger Support
- 15.4 Usage of Triggers to Enable Load Balancing
- 15.5 Related Work
- 15.6 Conclusions
- References
- 16 Conclusion and Future Research
- 16.1 Summary
- 16.2 Outlook and Further Research.