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...
| Κύριος συγγραφέας: | |
|---|---|
| Μορφή: | Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
London :
Iste ;
2014.
Hoboken : Wiley, 2014. |
| Σειρά: | Focus series in computer engineering.
|
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
| LEADER | 06013nam a2200733 4500 | ||
|---|---|---|---|
| 001 | ocn900416067 | ||
| 003 | OCoLC | ||
| 005 | 20170124071019.1 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 140816s2014 enk ob 001 0 eng d | ||
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| 020 | |a 1118790332 |q (electronic bk.) | ||
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| 035 | |a (OCoLC)900416067 |z (OCoLC)887507203 |z (OCoLC)891396719 | ||
| 050 | 4 | |a QA76.9.V5 |b Q47 2014 | |
| 072 | 7 | |a TEC |x 009070 |2 bisacsh | |
| 082 | 0 | 4 | |a 005.43 |2 23 |
| 049 | |a MAIN | ||
| 100 | 1 | |a Quesnel, Flavien. | |
| 245 | 1 | 0 | |a Scheduling of large-scale virtualized infrastructures : |b toward cooperative management / |c Flavien Quesnel. |
| 264 | 1 | |a London : |b Iste ; |c 2014. | |
| 264 | 1 | |a Hoboken : |b Wiley, |c 2014. | |
| 300 | |a 1 online resource (xvii, 165 pages). | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 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. | ||
| 650 | 0 | |a Virtual computer systems |x Management. | |
| 650 | 0 | |a Computer engineering. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Mechanical. |2 bisacsh | |
| 650 | 7 | |a Computer engineering. |2 fast |0 (OCoLC)fst00872078 | |
| 650 | 7 | |a Large scale systems. |2 fast |0 (OCoLC)fst00992666 | |
| 655 | 4 | |a Electronic books. | |
| 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. | |
| 856 | 4 | 0 | |u https://doi.org/10.1002/9781118790335 |z Full Text via HEAL-Link |
| 994 | |a 92 |b DG1 | ||
