基于休眠模式与注册服务的云架构性能优化问题的研究

doi:10.11959/j.issn.1000-436x.2019202

Abstract

Abstract:

In order to balance the energy conservation and the service quality for anonymous users,a novel sleep-mode based architecture with the free cloud service and the registration cloud service was proposed.Regarding the free cloud service as the first service,the registration cloud service as the second service and the sleep sate as the vacation,a partial asynchronous multiple vacation queueing model with a second optional service was built.Applying the method of a matrix-geometric solution,the steady-state distribution of the queueing model was derived,and then the energy saving rate of system as well as the average response time of anonymous users were estimated.By considering the benefits from accessing the cloud service and the time cost on waiting for the cloud service,benefit functions were constructed.Numerical results were carried out to reveal the relationship between Nash equilibrium arrival rate and social optimal arrival rate of anonymous users.The proposed cloud architecture provides a theoretical basis for social optimization.

Key words: cloud architecture, registration cloud service, sleep-mode, second optional service, Nash equilibrium, social optimization

CLC Number:

TP393

Shunfu JIN, Haixing WU, Tiantian HUO, Wenjuan ZHAO. On the performance optimization for the cloud architecture with sleep-mode and registration service[J]. Journal on Communications, 2019, 40(10): 127-136.

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References 20

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参数	设定值
云架构中虚拟机的数量c /个	10
免费服务率μ₁/s^-1	0.5
注册服务率μ₂/s^-1	0.2
单位时间内虚拟机向匿名用户提供免费服务的能量消耗J_a1/mW	5
单位时间内虚拟机向匿名用户提供注册服务的能量消耗J_a2/mW	4
单位时间内虚拟机处于休眠状态的能量消耗J_s /mW	0.5
虚拟机由休眠状态转换到活跃状态所产生的能量消耗J_t/mJ	6

阈值d	注册概率q	休眠参数θ	纳什均衡到达率λ_e	社会最优到达率λ^*	阈值d	注册概率q	休眠参数θ	纳什均衡到达率λ_e	社会最优到达率λ^*
1	0.1	0.1	3.300 5	1.536 6	5	0.5	0.1	1.922 6	1.203 1
1	0.1	0.2	3.569 3	2.360 6	5	0.5	0.2	1.989 9	1.357 4
1	0.1	0.3	3.626 1	2.591 4	5	0.5	0.3	2.006 7	1.449 0
1	0.1	0.4	3.650 0	2.696 7	5	0.5	0.4	2.012 4	1.472 2
1	0.1	0.5	3.665 0	2.759 0	5	0.5	0.5	2.016 1	1.501 4
1	0.1	0.6	3.675 4	2.805 6	5	0.5	0.6	2.018 6	1.511 1
1	0.1	0.7	3.683 0	2.850 4	5	0.5	0.7	2.020 5	1.543 6
1	0.1	0.8	3.688 8	2.866 5	5	0.5	0.8	2.022 0	1.548 5
1	0.1	0.9	3.693 5	2.888 1	5	0.5	0.9	2.023 2	1.551 3
3	0.3	0.1	2.402 7	1.267 5	7	0.7	0.1	1.621 7	1.162 6
3	0.3	0.2	2.533 0	1.638 3	7	0.7	0.2	1.640 0	1.240 8
3	0.3	0.3	2.568 1	1.806 2	7	0.7	0.3	1.647 4	1.259 8
3	0.3	0.4	2.587 1	1.870 4	7	0.7	0.4	1.651 6	1.262 0
3	0.3	0.5	2.599 2	1.928 0	7	0.7	0.5	1.654 3	1.289 7
3	0.3	0.6	2.603 3	1.965 4	7	0.7	0.6	1.656 3	1.291 7
3	0.3	0.7	2.606 0	1.951 8	7	0.7	0.7	1.657 7	1.292 4
3	0.3	0.8	2.608 0	1.986 7	7	0.7	0.8	1.658 8	1.304 2
3	0.3	0.9	2.609 6	2.009 7	7	0.7	0.9	1.659 7	1.309 4

On the performance optimization for the cloud architecture with sleep-mode and registration service

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