An open Jackson Network Model for Heterogeneous Infrastructure as a Service on Cloud Computing

Khac, Chien Nguyen; Thanh, Khiet Bui; Dac, Hung Ho; Hong, Son Nguyen; Tran, Vu Pham; Cong, Hung Tran

doi:10.5121/ijcnc.2019.11104

Cited by 3 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2. It follows a closed Jackson network [42], with a fixed number of jobs circulating inside, starting from the user devices. The system workflow is governed by a probabilistic routing through the network.…”

Section: Fog Modelmentioning

confidence: 99%

A queuing theory model for fog computing

et al. 2022

View full text Add to dashboard Cite

Under many scenarios where resources may be scarce or a good Quality of Service is a requirement, appropriately sizing components and devices is one of the main challenges. New scenarios, such as IoT, mobile cloud computing, mobile edge computing or fog computing, have emerged recently. The ability to design, model and simulate those infrastructures is critical to dimension them correctly. Queuing theory models provide a good approach to understanding how a given architecture would behave for a given set of parameters, thus helping to detect possible bottlenecks and performance issues in advance. This work presents a fog-computing modelling framework based on queuing theory. The proposed framework was used to simulate a given scenario allowing the possibility of adjusting the system by means of user-defined parameters. The results show that the proposed model is a good tool for designing optimal fog architectures regarding QoS requirements. It can also be used to fine-tune the designs to detect possible bottlenecks or improve the performance parameters of the overall environment.

show abstract

Section: Fog Modelmentioning

confidence: 99%

A queuing theory model for fog computing

et al. 2022

View full text Add to dashboard Cite

show abstract

“…It should be noted that the efficient operation of such a network presupposes the ability to flexibly respond to changes in the demand for computing power by turning on/off machines. Therefore, for a heterogeneous environment of Cloud Computing virtual machines the open Jackson queue network model was proposed in [9], which allows solving the problem of scaling the number of virtual machines. To solve this problem the architecture of an elastic system of dynamic resource management with several queues is presented in [10].…”

Section: Introductionmentioning

confidence: 99%

To analysis of a two-buffer queuing system with cross-type service and additional penalties

Gudkova

Vlaskina

Efrosinin

et al. 2021

Discrete and Continuous Models

View full text Add to dashboard Cite

The concept of cloud computing was created to better preserve user privacy and data storage security. However, the resources allocated for processing this data must be optimally allocated. The problem of optimal resource management in the loud computing environment is described in many scientific publications. To solve the problems of optimality of the distribution of resources of systems, you can use the construction and analysis of QS. We conduct an analysis of two-buffer queuing system with cross-type service and additional penalties, based on the literature reviewed in the article. This allows us to assess how suitable the model presented in the article is for application to cloud computing. For a given system different options for selecting applications from queues are possible, queue numbers, therefore, the intensities of transitions between the states of the system will change. For this, the system has a choice policy that allows the system to decide how to behave depending on its state. There are four components of such selection management models, which is a stationary policy for selecting a queue number to service a ticket on a vacated virtual machine each time immediately before service ends. A simulation model was built for numerical analysis. The results obtained indicate that requests are practically not delayed in the queue of the presented QS, and therefore the policy for a given model can be considered optimal. Although Poisson flow is the simplest for simulation, it is quite acceptable for performance evaluation. In the future, it is planned to conduct several more experiments for different values of the intensity of requests and various types of incoming flows.

show abstract

A Revolutionary Business Model for Global Purpose-Driven Corporations

İnce

2021

Advances in Business Strategy and Competitive Advantage

View full text Add to dashboard Cite

Mobility as a service (MaaS) is considered as a new solution to the transport needs, and it makes the travel convenient with large alternatives. This solution has some peerless advantages for individuals and organizations, and it provides not only accessibility and openness but also a quick and unique payment possibility. From this viewpoint, this chapter aims to address the relationship between individuals, organizations, and society according to MaaS. Some technological solutions about MaaS can allow increasing the quality of work and social life widely. Therefore, this chapter provides an overview of MaaS and individuals as a household member, work-force, entrepreneur, and an important part of society because, at the basis of all sectors, there is an individual either as a service provider or as a beneficiary. And the purpose-driven approach of the international corporations reorients the individualistic demands globally.

show abstract

An open Jackson Network Model for Heterogeneous Infrastructure as a Service on Cloud Computing

Cited by 3 publications

References 25 publications

A queuing theory model for fog computing

A queuing theory model for fog computing

To analysis of a two-buffer queuing system with cross-type service and additional penalties

A Revolutionary Business Model for Global Purpose-Driven Corporations

Contact Info

Product

Resources

About