Virtual machine scheduling strategy based on dual-speed and work vacation mode and its parameter optimization
Due to the increasingly strict environmental standards,high pollution and high energy consumption have become the significant factors restricting the development of cloud data centers (CDC).Under the premise of guaranteeing the quality of service (QoS) of CDC,dynamic power management (DPM) technolog...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2017-12-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017298/ |
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| author | Shun-fu JIN Shan-shan HAO Bao-shuai WANG |
| author_facet | Shun-fu JIN Shan-shan HAO Bao-shuai WANG |
| author_sort | Shun-fu JIN |
| collection | DOAJ |
| description | Due to the increasingly strict environmental standards,high pollution and high energy consumption have become the significant factors restricting the development of cloud data centers (CDC).Under the premise of guaranteeing the quality of service (QoS) of CDC,dynamic power management (DPM) technology was applied,synchronous multiple working sleep mode was introduced,and a novel virtual machine (VM) scheduling strategy was proposed.By establishing a two-dimensional continuous-time Markov stochastic model with adaptive service rate and synchronous multiple work vacations,and using the method of a matrix geometric solution,the performance of the VM scheduling strategy was evaluated in terms of energy saving level and average delay of requests.Numerical results with analysis and simulation verify the energy saving effectiveness of the VM scheduling strategy.In order to achieve a reasonable balance between the response performance and the energy-saving effect,a system utility function was constructed from the perspective of economics and design a researching algorithm of the sleep parameter based on the firefly algorithm(FA). |
| format | Article |
| id | doaj-art-9459eaac8f8343baaebef0b007870a4f |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-12-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-9459eaac8f8343baaebef0b007870a4f2025-01-14T07:13:25ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-12-0138102059713773Virtual machine scheduling strategy based on dual-speed and work vacation mode and its parameter optimizationShun-fu JINShan-shan HAOBao-shuai WANGDue to the increasingly strict environmental standards,high pollution and high energy consumption have become the significant factors restricting the development of cloud data centers (CDC).Under the premise of guaranteeing the quality of service (QoS) of CDC,dynamic power management (DPM) technology was applied,synchronous multiple working sleep mode was introduced,and a novel virtual machine (VM) scheduling strategy was proposed.By establishing a two-dimensional continuous-time Markov stochastic model with adaptive service rate and synchronous multiple work vacations,and using the method of a matrix geometric solution,the performance of the VM scheduling strategy was evaluated in terms of energy saving level and average delay of requests.Numerical results with analysis and simulation verify the energy saving effectiveness of the VM scheduling strategy.In order to achieve a reasonable balance between the response performance and the energy-saving effect,a system utility function was constructed from the perspective of economics and design a researching algorithm of the sleep parameter based on the firefly algorithm(FA).http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017298/cloud data centersvirtual machine scheduling strategydual-speedmultiple working vacations queueutility functionintelligent optimization |
| spellingShingle | Shun-fu JIN Shan-shan HAO Bao-shuai WANG Virtual machine scheduling strategy based on dual-speed and work vacation mode and its parameter optimization Tongxin xuebao cloud data centers virtual machine scheduling strategy dual-speed multiple working vacations queue utility function intelligent optimization |
| title | Virtual machine scheduling strategy based on dual-speed and work vacation mode and its parameter optimization |
| title_full | Virtual machine scheduling strategy based on dual-speed and work vacation mode and its parameter optimization |
| title_fullStr | Virtual machine scheduling strategy based on dual-speed and work vacation mode and its parameter optimization |
| title_full_unstemmed | Virtual machine scheduling strategy based on dual-speed and work vacation mode and its parameter optimization |
| title_short | Virtual machine scheduling strategy based on dual-speed and work vacation mode and its parameter optimization |
| title_sort | virtual machine scheduling strategy based on dual speed and work vacation mode and its parameter optimization |
| topic | cloud data centers virtual machine scheduling strategy dual-speed multiple working vacations queue utility function intelligent optimization |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017298/ |
| work_keys_str_mv | AT shunfujin virtualmachineschedulingstrategybasedondualspeedandworkvacationmodeanditsparameteroptimization AT shanshanhao virtualmachineschedulingstrategybasedondualspeedandworkvacationmodeanditsparameteroptimization AT baoshuaiwang virtualmachineschedulingstrategybasedondualspeedandworkvacationmodeanditsparameteroptimization |