Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Punto Poste 5.49 € Punto Poste 5.49 € Corriere DHL 6.99 € Corriere GLS 5.99 € Punto GLS 4.49 € Corriere Bartolini 4.49 € Punto Bartolini 3.49 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Efficient in live VM migration using working set prediction

Name: Efficient in live VM migration using working set prediction
Brand: LAP Lambert Academic Publishing
SKU: 16725096
Price: 27.99 EUR
Availability: InStock
Author: Ei Phyu Zaw
ISBN: 9783330327702

Ei Phyu Zaw

Lingua

Inglese

Libro In brossura

Codice Libristo: 16725096

Casa editrice LAP Lambert Academic Publishing, novembre 2016

Live migration is a key feature of system virtualization technologies. VM live migration basically c... Descrizione completa

Codice Libristo: 16725096

69 b

27.99 €

Magazzino esterno Inviamo tra 5-8 giorni

Fino a 30 giorni per il reso

I clienti hanno acquistato anche

Le saut quantique dans le sport mondial Álvaro José Gracia Díaz

In brossura

31.09 €

Le Doigt Magique - Drôles de frissons Luna Martin

In brossura

10.79 €

Salvacion se escribe con sangre Richard Garcia

Rigido

19.89 €

Heterologe UEberexpression von Genen zur Acetonproduktion Simone Thum

In brossura

62.09 €

Durch Fremdhilfe zur Selbsthilfe. Die Bedeutung von Beziehungsarbeit zur Selbstbefähigung für Menschen mit psychischer Beeinträchtigung Sara Saubach

In brossura

33.49 €

MillenniuM. Ediz. speciale

In brossura

14.69 €

Live migration is a key feature of system virtualization technologies. VM live migration basically consists of transferring its memory pages from a source server to a destination server. The amount of transferred memory pages affected the downtime and application performance of virtual machines. In pre-copy based live migration, virtual machine's service downtime is expected to be minimal but total migration time is prolonged by iterative copy operations and the significant amount of transferred data during the whole migration process. In this framework, a working set prediction algorithm is proposed as a preprocessing step. The proposed working set prediction algorithm which based on Least Recently Used (LRU) policy consists of working set list that collects the most recent used memory pages and inactive list that collects the least recent used memory pages. In iterative copy operations of the proposed framework, it transfers only inactive list and in stop and copy operation, it transfers working set list and CPU state.