2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) 2017
DOI: 10.23919/softcom.2017.8115516
|View full text |Cite
|
Sign up to set email alerts
|

Comparative experimental analysis of the quality-of-service and energy-efficiency of VMs and containers' consolidation for cloud applications

Abstract: Abstract-The consolidation of services is a widely accepted technique for IaaS Cloud providers to reducing energy consumption and improving the utilization of their resources. This technique is based on distributing all services in the minimum amount of servers. This way, the overall energy consumption of the datacenter is reduced, as less servers are needed to be active. Traditionally, research has focused on strategies for consolidation of Virtual Machines (VMs), but containers are changing the landscape of … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
4
0
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 12 publications
(6 citation statements)
references
References 13 publications
(14 reference statements)
0
4
0
1
Order By: Relevance
“…Docker, when configured to a maximum latency of 3000ms, can operate up to 21% more services than KVM. Docker provides this service in this setup while consuming 11.33% less energy than KVM [39].…”
Section: Power Modelling At Operating System Virtualizationmentioning
confidence: 99%
“…Docker, when configured to a maximum latency of 3000ms, can operate up to 21% more services than KVM. Docker provides this service in this setup while consuming 11.33% less energy than KVM [39].…”
Section: Power Modelling At Operating System Virtualizationmentioning
confidence: 99%
“…Por um lado, a capacidade de mapear os recursos computacionais físicos em recursos virtuais permite consolidar mais aplicac ¸ões em um único servidor. Por outro, se torna mais difícil monitorar qual é a real utilizac ¸ão de hardware dos recursos virtuais e seu consequente consumo elétrico [Cuadrado-Cordero et al 2017].…”
Section: Desafios Em Realizar Simulac ¸õEsunclassified
“…The study by Morabito 35 compares the power consumption of container and VM and shows that both types of virtualization have similar power consumption for idle situations or for CPU/memory operations, but containers consume less power for network‐intensive operations. Cuadrado‐Cordero et al 36 compared the QoS and energy performance of Docker containers and KVM for different services. These experimental results show that Docker allows more services to run compared with KVM.…”
Section: Related Workmentioning
confidence: 99%