Economic models for managing cloud services. (2018)
- Record Type:
- Book
- Title:
- Economic models for managing cloud services. (2018)
- Main Title:
- Economic models for managing cloud services
- Further Information:
- Note: Sajib Mistry, Athman Bouguettaya, Hai Dong.
- Authors:
- Mistry, Sajib
Bouguettaya, Athman
Dong, Hai - Contents:
- Intro; Foreword; Preface; Acknowledgments; Contents; List of Figures; List of Tables; 1 Introduction; 1.1 Cloud Service Management; 1.1.1 Cloud Management Using Service Composition; 1.2 Economic Models for Better Cloud Service Management; 1.2.1 Challenges in Developing a Quantitative Economic Model; 1.2.2 Challenges in Developing a Qualitative Economic Model; 1.2.3 Economic Model Based Cloud Service Composition; 1.3 Outline of the Book Chapters; 2 Background; 2.1 Cloud Service Management from an End User's Perspective; 2.1.1 Service Composition with Functional Requirements. 2.1.2 Service Composition with Non-functional Requirements2.1.3 Service Composition with Long-Term Requirements; 2.2 Cloud Service Management from a Provider's Perspective; 2.2.1 Resource Allocation Approaches; 2.2.2 Task Scheduling Approaches; 2.2.3 Admission Control Approaches; 2.3 Economic Models; 2.3.1 Economic Modeling in Operations Research; 2.3.2 Quantitative Economic Modeling in the Cloud Market; 2.3.3 Qualitative Economic Modeling in the Cloud Market; 2.4 Prediction Modeling in Service Composition; 2.4.1 Time-Series and Probabilistic Prediction Models. 2.4.2 Web Service QoS Prediction Frameworks2.5 Optimization Approaches in Service Composition; 2.5.1 Global Optimization Approaches; 2.5.2 Sequential Local Optimization and Machine-Learning Approaches; 2.6 Conclusion; 3 Long-Term IaaS Composition for Deterministic Requests; 3.1 Introduction; 3.2 The Heuristics on Consumer Behavior; 3.3 TheIntro; Foreword; Preface; Acknowledgments; Contents; List of Figures; List of Tables; 1 Introduction; 1.1 Cloud Service Management; 1.1.1 Cloud Management Using Service Composition; 1.2 Economic Models for Better Cloud Service Management; 1.2.1 Challenges in Developing a Quantitative Economic Model; 1.2.2 Challenges in Developing a Qualitative Economic Model; 1.2.3 Economic Model Based Cloud Service Composition; 1.3 Outline of the Book Chapters; 2 Background; 2.1 Cloud Service Management from an End User's Perspective; 2.1.1 Service Composition with Functional Requirements. 2.1.2 Service Composition with Non-functional Requirements2.1.3 Service Composition with Long-Term Requirements; 2.2 Cloud Service Management from a Provider's Perspective; 2.2.1 Resource Allocation Approaches; 2.2.2 Task Scheduling Approaches; 2.2.3 Admission Control Approaches; 2.3 Economic Models; 2.3.1 Economic Modeling in Operations Research; 2.3.2 Quantitative Economic Modeling in the Cloud Market; 2.3.3 Qualitative Economic Modeling in the Cloud Market; 2.4 Prediction Modeling in Service Composition; 2.4.1 Time-Series and Probabilistic Prediction Models. 2.4.2 Web Service QoS Prediction Frameworks2.5 Optimization Approaches in Service Composition; 2.5.1 Global Optimization Approaches; 2.5.2 Sequential Local Optimization and Machine-Learning Approaches; 2.6 Conclusion; 3 Long-Term IaaS Composition for Deterministic Requests; 3.1 Introduction; 3.2 The Heuristics on Consumer Behavior; 3.3 The Long-Term Composition Framework for Deterministic Requests; 3.4 Predicting the Dynamic Behavior of Consumer Requests; 3.4.1 Predicting Runtime Behavior of Existing Consumers' Requests; 3.4.1.1 Multivariate HMM Modeling of High-Frequent Usage Patterns. 3.4.1.2 HMM-ARIMA Modeling of Seasonal Usage Patterns3.4.1.3 Selection of Models; 3.4.2 Predicting Runtime Behavior of New Consumers' Requests; 3.5 An ILP Modeling for Request Optimization; 3.6 Experiments and Results; 3.6.1 Data Description; 3.6.1.1 Correlation Density Index (CDI) in the Dataset; 3.6.1.2 Setup of Economic Values for Profit Modeling; 3.6.2 Accuracy in Predicting the Behavior of Consumer Requests; 3.6.3 Performance Analysis on Profit Maximization; 3.7 Conclusion; 4 Long-Term IaaS Composition for Stochastic Requests; 4.1 Introduction. 4.2 Long-Term Dynamic IaaS Composition Framework4.3 Long-Term Economic Model of IaaS Provider; 4.3.1 Long-Term Economic Valuation; 4.3.2 Semantic Economic Expectation and Fitnessof a Composition; 4.4 Genetic Optimization Using IaaS Economic Model; 4.5 Hybrid Adaptive Genetic Algorithm (HAGA) Based Composition; 4.5.1 Solution Representation in HAGA; 4.5.2 Initial Population Generation; 4.5.3 Parent Selection, Crossover, and Mutation; 4.5.4 Solution Generation with Repair Heuristic; 4.5.5 Runtime Optimization Scheduling; 4.6 Experiments and Results; 4.6.1 Data Description. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 004.67/82
Computer science
Cloud computing -- Management -- Economic aspects
Information Systems
Computer Communication Networks
COMPUTERS -- Computer Literacy
COMPUTERS -- Computer Science
COMPUTERS -- Data Processing
COMPUTERS -- Hardware -- General
COMPUTERS -- Information Technology
COMPUTERS -- Machine Theory
COMPUTERS -- Reference
Computer networks
Computer science
Management information systems
Business & Economics -- Information Management
Computers -- Hardware -- Network Hardware
Information architecture
Network hardware
Information retrieval
Computer Communication Networks
Electronic books - Languages:
- English
- ISBNs:
- 9783319738765
3319738763 - Related ISBNs:
- 9783319738758
3319738755 - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed February 15, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.375127
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