05442nam 2200673 450 991081418690332120230803204218.01-118-79031-61-118-79033-21-118-79010-3(CKB)3710000000218265(EBL)1765087(SSID)ssj0001378904(PQKBManifestationID)12546315(PQKBTitleCode)TC0001378904(PQKBWorkID)11355075(PQKB)11265949(OCoLC)891396719(MiAaPQ)EBC1765087(Au-PeEL)EBL1765087(CaPaEBR)ebr10907576(CaONFJC)MIL637321(OCoLC)900416067(EXLCZ)99371000000021826520140822h20142014 uy 0engur|n|---|||||txtccrScheduling of large-scale virtualized infrastructures toward cooperative management /Flavien QuesnelLondon, [England] ;Hoboken, New Jersey :Wiley :ISTE,2014.©20141 online resource (191 p.)Focus Computer Engineering SeriesDescription based upon print version of record.1-84821-620-3 Includes bibliographical references and index.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 tasks1.2.5. 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 resources2.1.3. 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 sharing2.2.1.1.2. 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 unit3.2.1.3. 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. Consolidation3.3.3.5. Affinities and antagonismsSystem 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 cooperaFocus series in computer engineering.Computer engineeringLarge scale systemsComputer engineering.Large scale systems.621.39Quesnel Flavien1642474MiAaPQMiAaPQMiAaPQBOOK9910814186903321Scheduling of large-scale virtualized infrastructures3987199UNINA