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Scheduling of large-scale virtualized infrastructures [electronic resource] : toward cooperative management / Flavien Quesnel

Author
Quesnel, Flavien
Published
Hoboken : Wiley, 2014.
Physical Description
1 online resource (191 pages)
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Series
Contents
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, and 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
Summary
System virtualization has become increasingly common in distributed systems because of its functionality and convenience for the owners and users of these infrastructures. In Scheduling of Large-scale Virtualized Infrastructures, author Flavien Quesnel examines the management of large-scale virtual infrastructures with an emphasis on scheduling up to 80,000 virtual machines on 8,000 nodes. The text fills a need for updated software managing to meet the increasing size of virtual infrastructures. Virtual machine managers and virtual operators will appreciate this guide to improvement in coopera.
Subject(s)
ISBN
9781118790335 (electronic bk.)
1118790332 (electronic bk.)
9781118790106
1118790103
Note
Description based upon print version of record.
AVAILABLE ONLINE TO AUTHORIZED PSU USERS.
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