Pricing policy for a cloud registration service with a novel cloud architecture

Jin, Shunfu; Wu, Haixing; Yue, Wuyi

doi:10.1007/s10586-018-2854-z

Cited by 9 publications

(3 citation statements)

References 14 publications

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“…Referencing [12], we make the following assumptions to analyze the system model: the arrivals of visitors obey a Poisson distribution with arrival rate λ (λ > 0); the experience service time and the enrollment service time of a visitor obey exponential distributions with service rates µ 1 (µ 1 > 0) and µ 2 (µ 2 > 0), respectively; the probability of a visitor enrolling as a member is q (0 < q < 1,q = 1 − q); the time duration of a sleep timer is exponentially distributed with sleeping parameter θ (θ > 0).…”

Section: Model Descriptionmentioning

confidence: 99%

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Performance evaluation and Nash equilibrium of a cloud architecture with a sleeping mechanism and an enrollment service

Jin¹,

Wu²,

Yue³

2020

Journal of Industrial &Amp; Management Optimization

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Cloud computing makes it possible for application providers to provide services seamlessly and application users to receive services adaptively. By offering services that give users an initial experience, application providers can usually attract more users. This research proposes a type of sleeping mechanism-based cloud architecture where an experience service and an enrollment service are provided on one virtual machine (VM). Accordingly, we model the cloud architecture as a queue with an asynchronous multi-vacation and a selectable extra service. We also analyze the queueing model in the steady state by constructing a three-dimensional Markov chain. Following this, we evaluate the system performance of the proposed cloud architecture based on the energy conservation level of the system and the mean delay of the visitors who select the enrollment service. Moreover, we study the Nash equilibrium strategy of visitors by building an individual welfare function, and develop an improved intelligent search algorithm to investigate the socially optimal strategy of visitors. Aiming to achieve a social optimum, we formulate a pricing policy with a reasonable enrollment fee.

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Section: Model Descriptionmentioning

confidence: 99%

“…11and E[T 2 ] is given in Eq. (12). An arriving visitor will decide to either join or balk the system.…”

Section: 2mentioning

confidence: 99%

Performance evaluation and Nash equilibrium of a cloud architecture with a sleeping mechanism and an enrollment service

Jin¹,

Wu²,

Yue³

2020

Journal of Industrial &Amp; Management Optimization

Self Cite

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“…In [12], a cloud architecture with a free service and a registration service was proposed. The cloud architecture was modeled and evaluated by an M/M/c queue with a second optional service.…”

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confidence: 99%

Performance analysis and system optimization of an energy-saving mechanism in cloud computing with correlated traffic

Yan

Jin

Yue

2022

JIMO

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Energy consumption is becoming a significant part of overall operational cost in cloud data centers. For the purpose of satisfying the Service Level Agreement (SLA) of cloud users while enhancing the energy efficiency in cloud computing systems, in this paper we propose an energy-saving mechanism with a sleep mode. Taking into consideration the traffic's correlation and the stochastical behavior of data arrival requests in a random cloud environment with the proposed energy-saving mechanism, we model the system as a MAP/M/N /N +K queue with a synchronous multi-vacation. Then, we present a theoretical basis for analyzing and evaluating the system performance by taking a state transition rate matrix in the steady state. Next, we investigate the change trends for the energy saving rate of the system and the average latency of tasks by carrying out numerical experiments. Moreover, we give a

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A MAP-Based Performance Analysis on an Energy-Saving Mechanism in Cloud Computing

Yan

Jin

Yue

2019

Queueing Theory and Network Applications

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Pricing policy for a cloud registration service with a novel cloud architecture

Cited by 9 publications

References 14 publications

Performance evaluation and Nash equilibrium of a cloud architecture with a sleeping mechanism and an enrollment service

Performance evaluation and Nash equilibrium of a cloud architecture with a sleeping mechanism and an enrollment service

Performance analysis and system optimization of an energy-saving mechanism in cloud computing with correlated traffic

A MAP-Based Performance Analysis on an Energy-Saving Mechanism in Cloud Computing

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