DBN Based Cloud Service Response Time Prediction Method

Gao, Yan; Zhang, Bin; Wang, Si; Ma, Anxiang

doi:10.23919/icact.2019.8701922

Cited by 7 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several studies examined the performance of IaaS cloud using various performance metrics such as [11], [12], [13], [14] and [15]. Ref.…”

Section: Introductionmentioning

confidence: 99%

“…The performance assessment of an IaaS cloud, some performance metrics are derived using a taxonomy model. The performance analysis of the IaaS cloud involved CPU, memory [11], and response time [12] by adding the availability of cloud service [16] and throughput transfer parameters. This research referred to the taxonomy metrics metamodel for cloud services [17].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Peer to peer (P2P) and cloud computing on infrastructure as a service (IaaS) performance analysis

Ernawati¹,

Febiansyah²

2022

J.INFOTEL

View full text Add to dashboard Cite

The resources of information technology and the availability of services on non-cloud network systems are limited. This constitutes problems for companies, especially in the efficient management of information technology. The high investment in infrastructure procurement is an obstacle in building centralized systems, including the adoption of cloud computing through Infrastructure as a Service (IaaS), as an elective solution. This research aims to analyze the performance of cloud servers on IaaS services using the parameters of cloud service availability, resource utilization, and throughput transfer which were implemented in companies engaged in the toll road concession sector. Furthermore, the results are expected to be a reference in supporting company decisions/policies related to cloud system adoption. The methodology involved the Network Development Life Cycle (NDLC), a system constituted by 6 (six) stages of management, namely user, proxy server, database, web service, monitoring service, and Remote Desktop Protocol (RDP). The results of cloud service availability indicate that the cloud system provides service availability (system interface, broad network access, and resource pooling). Furthermore, cloud systems have a significant performance on resource utilization (CPU) and throughput transfer parameters, while non-cloud systems only excel in response time and resource utilization (Memory) parameters. The overall result analysis based on this research scenario showed that the cloud system provides services according to user needs and has a better speed in data transmission, but has shortcomings in response time.

show abstract

“…Several studies examined the performance of IaaS cloud using various performance metrics such as [11], [12], [13], [14] and [15]. Ref.…”

Section: Introductionmentioning

confidence: 99%