Automated workflow scheduling in self-adaptive clouds : concepts, algorithms and methods /: concepts, algorithms and methods. (2017)
- Record Type:
- Book
- Title:
- Automated workflow scheduling in self-adaptive clouds : concepts, algorithms and methods /: concepts, algorithms and methods. (2017)
- Main Title:
- Automated workflow scheduling in self-adaptive clouds : concepts, algorithms and methods
- Further Information:
- Note: G. Kousalya, P. Balakrishnan, C. Pethuru Raj.
- Authors:
- Kousalya, G
Balakrishnan, P
Raj, C. Pethuru - Contents:
- Chapter 1: Stepping into the Digital Intelligence Era; 1.1 Introduction; 1.2 Elucidating Digitization Technologies; 1.2.1 Why Digitization?; 1.3 The Internet of Things (IoT)/Internet of Everything (IoE); 1.4 Real-Time, Predictive, and Prescriptive Analytics; 1.5 Envisioning the Digital Universe; 1.6 Describing the Digitization-Driven Big Data World; 1.7 The Cloud Infrastructures for the Digitization Era; 1.8 Integrated Platform for Big Data Analytics (Dr. Barry Devlin [1]); 1.9 Conclusion; References. Chapter 2: Demystifying the Traits of Software-Defined Cloud Environments (SDCEs)2.1 Introduction; 2.2 Reflecting the Cloud Journey; 2.2.1 Elucidating the Cloudification Process; 2.2.2 The IT Commoditization and Compartmentalization; 2.3 Visualizing the Future; 2.4 The Emergence of Software-Defined Cloud Environments (SECEs); 2.5 The Major Building Blocks of Software-Defined Cloud Environments (SDCEs); 2.5.1 Network Virtualization; 2.5.2 Network Functions Virtualization (NFV); 2.5.3 Software-Defined Networking (SDN); 2.5.4 The Key Motivations for SDN; 2.5.5 The Need of SDN for the Cloud. 2.6 The Distinct Benefits of Software-Defined Networking2.7 Accentuating Software-Defined Storage (SDS); 2.8 The Key Characteristics of Software-Defined Storage (SDS); 2.8.1 Software-Defined Wide Area Networking (SD-WAN); 2.9 The Key Benefits of Software-Defined Cloud Environments (SDCEs); 2.10 Conclusion; References; Chapter 3: Workflow Management Systems; 3.1 Introduction; 3.2 WorkflowChapter 1: Stepping into the Digital Intelligence Era; 1.1 Introduction; 1.2 Elucidating Digitization Technologies; 1.2.1 Why Digitization?; 1.3 The Internet of Things (IoT)/Internet of Everything (IoE); 1.4 Real-Time, Predictive, and Prescriptive Analytics; 1.5 Envisioning the Digital Universe; 1.6 Describing the Digitization-Driven Big Data World; 1.7 The Cloud Infrastructures for the Digitization Era; 1.8 Integrated Platform for Big Data Analytics (Dr. Barry Devlin [1]); 1.9 Conclusion; References. Chapter 2: Demystifying the Traits of Software-Defined Cloud Environments (SDCEs)2.1 Introduction; 2.2 Reflecting the Cloud Journey; 2.2.1 Elucidating the Cloudification Process; 2.2.2 The IT Commoditization and Compartmentalization; 2.3 Visualizing the Future; 2.4 The Emergence of Software-Defined Cloud Environments (SECEs); 2.5 The Major Building Blocks of Software-Defined Cloud Environments (SDCEs); 2.5.1 Network Virtualization; 2.5.2 Network Functions Virtualization (NFV); 2.5.3 Software-Defined Networking (SDN); 2.5.4 The Key Motivations for SDN; 2.5.5 The Need of SDN for the Cloud. 2.6 The Distinct Benefits of Software-Defined Networking2.7 Accentuating Software-Defined Storage (SDS); 2.8 The Key Characteristics of Software-Defined Storage (SDS); 2.8.1 Software-Defined Wide Area Networking (SD-WAN); 2.9 The Key Benefits of Software-Defined Cloud Environments (SDCEs); 2.10 Conclusion; References; Chapter 3: Workflow Management Systems; 3.1 Introduction; 3.2 Workflow Management System; 3.3 Kepler; 3.4 Taverna; 3.5 Triana; 3.6 Pegasus; 3.7 ASKALON; 3.8 Conclusion; References; Chapter 4: Workflow Scheduling Algorithms and Approaches; 4.1 Introduction; 4.2 Workflow Model. 4.3 Static Workflow Scheduling4.4 Dynamic Workflow Scheduling; 4.5 Workflow Scheduling; 4.6 Taxonomy of Cloud Resource Scheduling; 4.7 Existing Workflow Scheduling Algorithms; 4.7.1 Best Effort Workflow Scheduling; 4.7.2 Bi-objective Workflow Scheduling; 4.7.3 Multi-objective Workflow Scheduling; 4.8 Issues of Scheduling Workflow in Cloud; 4.9 Conclusion; References; Chapter 5: Workflow Modeling and Simulation Techniques; 5.1 Introduction; 5.2 Architecture of CloudSim; 5.3 Layered Design and Implementation of CloudSim Framework; 5.4 Experimental Results Using CloudSim; 5.5 WorkflowSim. 5.6 Architecture of WorkflowSim5.7 Conclusion; References; Chapter 6: Execution of Workflow Scheduling in Cloud Middleware; 6.1 Introduction; 6.2 Workflow Management System; 6.3 Experimental Setup; 6.4 General Steps for Submitting Workflow in Pegasus; 6.4.1 Pegasus Monitoring and Measuring Service; 6.5 Conclusion; References; Chapter 7: Workflow Predictions Through Operational Analytics and Machine Learning; 7.1 Introduction; 7.2 Workflow Prediction; 7.2.1 Challenges in Designing an APPS; 7.2.2 Workflow Prediction Approaches; 7.3 AM-Based Performance Prediction Systems. … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2017
- Extent:
- 1 online resource
- Subjects:
- 658.5/3
004
Computer science
Workflow management systems
Cloud computing
Adaptive control systems
BUSINESS & ECONOMICS -- Industrial Management
BUSINESS & ECONOMICS -- Management
BUSINESS & ECONOMICS -- Management Science
BUSINESS & ECONOMICS -- Organizational Behavior
Adaptive control systems
Cloud computing
Workflow management systems
Computer Science
Computer Communication Networks
Information Systems Applications (incl. Internet)
Input/Output and Data Communications
Artificial Intelligence (incl. Robotics)
Computers -- Information Technology
Computers -- Data Transmission Systems -- Electronic Data Interchange
Computers -- Intelligence (AI) & Semantics
Information retrieval
Computer networking & communications
Artificial intelligence
Computer Communication Networks
Data transmission systems
Artificial intelligence
Computers -- Hardware -- Network Hardware
Network hardware
Electronic books
Electronic book - Languages:
- English
- ISBNs:
- 9783319569826
3319569821 - Related ISBNs:
- 9783319569819
3319569813 - Notes:
- Note: Includes bibliographical references and index.
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- 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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- British Library HMNTS - ELD.DS.357746
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- 01_319.xml