Fault tolerance and quality of service aware virtual machine scheduling algorithm in cloud data centers

How to improve resource utilization of cloud data centers (CDCs) and ensure users’ quality of service (QoS) through efficient virtual machine (VM) scheduling is an urgent problem. Especially when service reliability is taken into consideration, the problem becomes more challenging. However, existing...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	The Journal of supercomputing Jg. 79; H. 3; S. 2603 - 2625
Hauptverfasser:	Xu, Heyang, Xu, Sen, Wei, Wei, Guo, Naixuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.02.2023 Springer Nature B.V
Schlagworte:	Algorithms Cloud computing Clusters Compilers Computer Science Data centers Energy consumption Expenditures Failure Fault tolerance Influence Interpreters Multiple objective analysis Optimization Optimization models Processor Architectures Programming Languages Quality of service Queuing theory Reliability Resource utilization Scheduling Software User satisfaction Virtual environments Workloads Fault tolerance Overall satisfactions Cloud data centers Virtual machine scheduling Quality of service
ISSN:	0920-8542, 1573-0484
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!