Scheduling of large-scale virtualized infrastructures : toward cooperative management /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Quesnel, Flavien
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Hoboken : Iste ; Wiley, 2014.
Colección:Focus series in computer engineering.
Temas:
Virtual computer systems > Management.
Computer engineering.
Computer organization.
Systèmes virtuels (Informatique) > Gestion.
Ordinateurs > Conception et construction.
TECHNOLOGY & ENGINEERING > Mechanical.
Computer organization
Computer engineering
Acceso en línea:Texto completo

MARC

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100 1 |a Quesnel, Flavien. 
245 1 0 |a Scheduling of large-scale virtualized infrastructures :  |b toward cooperative management /  |c Flavien Quesnel. 
260 |a London :  |b Iste ;  |a Hoboken :  |b Wiley,  |c 2014. 
300 |a 1 online resource (xvii, 165 pages) 
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490 1 |a FOCUS Computer Engineering Series 
505 0 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
520 |a 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. 
504 |a Includes bibliographical references and index. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Virtual computer systems  |x Management. 
650 0 |a Computer engineering. 
650 0 |a Computer organization. 
650 6 |a Systèmes virtuels (Informatique)  |x Gestion. 
650 6 |a Ordinateurs  |x Conception et construction. 
650 7 |a TECHNOLOGY & ENGINEERING  |x Mechanical.  |2 bisacsh 
650 7 |a Computer organization  |2 fast 
650 7 |a Computer engineering  |2 fast 
776 0 8 |i Print version:  |a Quesnel, Flavien.  |t Scheduling of Large-scale Virtualized Infrastructures : Toward Cooperative Management.  |d Hoboken : Wiley, ©2014  |z 9781848216204 
830 0 |a Focus series in computer engineering. 
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