Event-triggered Output-feedback Control for Networked Switched Positive Systems with Asynchronous Switching

Liu, Jiao; Yang, Yake; Li, Hongchao; Geng, Yanli

doi:10.1007/s12555-020-0655-7

Cited by 9 publications

(2 citation statements)

References 33 publications

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“…applications, including remote monitoring, performance control, and infrastructure management [1,2,3,4], is at the forefront of accomplishing these objectives. Recently, Cloud Computing [5,6,7] has gained popularity as a new enterprise model for providing on-demand services to users as needed.…”

Section: Eai Endorsed Transactions On Scalable Information Systemsmentioning

confidence: 99%

A Dynamic Scalable Auto-Scaling Model as a Load Balancer in the Cloud Computing Environment

Rout¹,

Ravindra²,

Meda³

et al. 2023

ICST Transactions on Scalable Information Systems

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INTRODUCTION: Cloud services are becoming increasingly important as advanced technology changes. In these kinds of cases, the volume of work on the corresponding server in public real-time data virtualized environment can vary based on the user’s needs. Cloud computing is the most recent technology that provides on-demand access to computer resources without the user’s direct interference. Consequently, cloud-based businesses must be scalable to succeed.OBJECTIVES: The purpose of this research work is to describe a new virtual cluster architecture that allows cloud applications to scale dynamically within the virtualization of cloud computing scale Using auto-scaling, resources can be dynamically adjusted to meet multiple demands. METHODS: An auto-scaling algorithm based on the current implementation sessions will be initiated for automated provisioning and balancing of virtualized resources. The suggested methodology also considers the cost of energy.RESULTS: The proposed research work has shown that the suggested technique can handle sudden load demands while maintaining higher resource usage and lowering energy costs efficiently.CONCLUSION: Auto-scaling features are available in measures in order groups, allowing you to automatically add or remove instances from a managed instance group based on changes in load. This research work provides an analysis of auto-scaling mechanisms in cloud services that can be used to find the most efficient and optimal solution in practice and to manage cloud services efficiently.

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Section: Eai Endorsed Transactions On Scalable Information Systemsmentioning

confidence: 99%

A Dynamic Scalable Auto-Scaling Model as a Load Balancer in the Cloud Computing Environment

Rout¹,

Ravindra²,

Meda³

et al. 2023

ICST Transactions on Scalable Information Systems

View full text Add to dashboard Cite

show abstract

“…Remark 2: It is worth mentioning that there have been some works devoted to the linear event-triggered scheme, such as the ones in [28], [48], [49], but these methods usually efficient under the assumption that the error term always satisfies y(t) ≥ 0, which has very little practical significance. In comparison, in this paper, the new scheme ( 7) is developed without the limitation, thus, it is more reasonable to design the event-triggered controller for positive IT2 T-S fuzzy systems.…”

Section: Event-triggered Control Schemementioning

confidence: 99%

Relaxed Stabilization of Event-Triggered Interval Type-2 T–S Fuzzy Positive Systems With Stochastic Actuator Failure

Wang

Lam

Meng

et al. 2023

IEEE Trans. Fuzzy Syst.

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Secure Control for Cyber-Physical Systems with Positive Constraint Under DoS Attack

Liu

Kang

2022

Circuits Syst Signal Process

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Event-triggered Output-feedback Control for Networked Switched Positive Systems with Asynchronous Switching

Cited by 9 publications

References 33 publications

A Dynamic Scalable Auto-Scaling Model as a Load Balancer in the Cloud Computing Environment

A Dynamic Scalable Auto-Scaling Model as a Load Balancer in the Cloud Computing Environment

Relaxed Stabilization of Event-Triggered Interval Type-2 T–S Fuzzy Positive Systems With Stochastic Actuator Failure

Secure Control for Cyber-Physical Systems with Positive Constraint Under DoS Attack

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