Scheduling of large-scale virtualized infrastructures : toward cooperative management

Content: Cover
 Title Page
 Copyright
 Contents
 List of Abbreviations
 Introduction
 PART 1: Management of Distributed Infrastructures
 Chapter 1: Distributed Infrastructures Before the Rise of Virtualization
 1.1. Overview of distributed infrastructures
 1.1.1. Cluster
 1.1.2. Data center
 1.1.3. Grid
 1.1.4. Volunteer computing platforms
 1.2. Distributed infrastructure management from the software point of view
 1.2.1. Secured connection to the infrastructure and identification ofusers
 1.2.2. Submission of tasks
 1.2.3. Scheduling of tasks
 1.2.4. Deployment of tasks. 1.2.5. Monitoring the infrastructure1.2.6. Termination of tasks
 1.3. Frameworks traditionally used to manage distributed infrastructures
 1.3.1. User-space frameworks
 1.3.2. Distributed operating systems
 1.4. Conclusion
 Chapter 2: Contributions of Virtualization
 2.1. Introduction to virtualization
 2.1.1. System and application virtualization
 2.1.1.1. System virtualization
 2.1.1.2. Application virtualization
 2.1.2. Abstractions created by hypervisors
 2.1.2.1. Translation
 2.1.2.2. Aggregation of resources
 2.1.2.3. Partition of resources. 2.1.3. Virtualization techniques used by hypervisors2.1.3.1. Emulation
 2.1.3.2. Paravirtualization
 2.1.3.3. Hardware virtualization
 2.1.4. Main functionalities provided by hypervisors
 2.1.4.1. Resource throttling
 2.1.4.2. Optimizing memory usage
 2.1.4.3. Suspending and resuming virtual machines
 2.1.4.4. Snapshotting
 2.1.4.5. Migrating virtual machines
 2.2. Virtualization and management of distributed infrastructures
 2.2.1. Contributions of virtualization to the management ofdistributed infrastructures
 2.2.1.1. Advantages for owners
 2.2.1.1.1. Improving resource sharing. 2.2.1.1.2. Facilitating maintenance operations2.2.1.2. Advantages for users
 2.2.1.2.1. Deploying a customized runtime
 2.2.1.2.2. Outsourcing infrastructure buy and management
 2.2.1.2.3. Fault-tolerance and high availability
 2.2.2. Virtualization and cloud computing
 2.3. Conclusion
 Chapter 3: Virtual Infrastructure Managers Used in Production
 3.1. Overview of virtual infrastructure managers
 3.1.1. Generalities
 3.1.2. Classification
 3.2. Resource organization
 3.2.1. Computing resources
 3.2.1.1. Computing nodes and supported hypervisors
 3.2.1.2. Grouping unit. 3.2.1.3. Sets of grouping units3.2.2. Storage resources
 3.2.2.1. Local storage on worker nodes
 3.2.2.2. Shared storage
 3.2.2.3. Secondary storage
 3.3. Scheduling
 3.3.1. Scheduler architecture
 3.3.1.1. Centralized architecture
 3.3.1.2. Hierarchical architecture
 3.3.2. Factors triggering scheduling
 3.3.2.1. Creation of a new virtual machine
 3.3.2.2. Periodic or on-demand optimization of resource utilization
 3.3.2.3. Node maintenance
 3.3.2.4. Virtual machine crash
 3.3.3. Scheduling policies
 3.3.3.1. First fit
 3.3.3.2. Random
 3.3.3.3. Load balancing
 3.3.3.4. Consolidation.