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Mobile cloud calculation adaptive virtual machine scheduling method based on improved particle swarm

A technology for improving particle swarm and scheduling methods, applied in the field of cloud computing and machine learning, can solve problems such as incomplete consideration and non-consideration, and achieve the effects of reducing energy consumption, increasing convergence speed, and improving solution speed

Active Publication Date: 2020-02-14
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0005] Although the existing virtual machine scheduling methods of mobile cloud centers reduce the energy consumption of cloud centers to a certain extent, there are still some deficiencies. On the one hand, the existing virtual machine scheduling methods of mobile cloud computing cannot meet the current needs. , if it cannot meet the large-scale virtual machine scheduling requirements; on the other hand, most of the existing virtual machine scheduling strategies are not considered comprehensively, or only considered from a different perspective, such as only considering CPU energy consumption instead of Does not consider the energy consumption of other components

Method used

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  • Mobile cloud calculation adaptive virtual machine scheduling method based on improved particle swarm
  • Mobile cloud calculation adaptive virtual machine scheduling method based on improved particle swarm
  • Mobile cloud calculation adaptive virtual machine scheduling method based on improved particle swarm

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Embodiment

[0115] The experimental simulation is carried out by using the cloud computing simulation tool CloudSim. A heterogeneous virtualized data center containing 400 heterogeneous servers is simulated. In order to reflect the heterogeneity of the virtualized data center, two types of servers are selected, which have different configurations and energy consumption characteristics. The parameters and characteristics of the servers are shown in the table 2. The power consumption (watts) of the selected servers at different load levels is shown in Table 3. The parameter settings of the comparative simulation experiment are shown in Table 4. In Table 4 ω 1 , ω 2 , ω 3 , ω 4 They are CPU energy consumption weight, memory energy consumption weight, hard disk energy consumption weight, and network bandwidth energy consumption weight respectively. Table 5 shows the virtual machine instance of this embodiment.

[0116] Table 2 Server parameter characteristics

[0117]

[0118] Tabl...

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Abstract

The invention discloses a mobile cloud calculation adaptive virtual machine scheduling method based on an improved particle swarm. The method comprises the following steps of considering four resources of a CPU, a memory, a network bandwidth and a hard disk, regarding a virtual machine scheduling model as a boxing problem, constructing three objective functions of minimum energy consumption, maximum utility and minimum server number, and establishing a multi-objective optimized virtual machine scheduling model VMSA-PSOEU in combination with constraint conditions; according to the virtual machine scheduling method, a boxing problem is converted into a constrained multi-objective optimization problem, a collected virtual machine request serves as input, a VMSA-PSOEU model is combined, the multi-objective optimization problem is solved through an improved particle swarm algorithm, an optimal solution is obtained, and the optimal solution is a final virtual machine scheduling scheme. Aiming at the problem of high energy consumption of the cloud center, how to effectively reduce the energy consumption of the data center is fully considered from the four resource dimensions, Meanwhile, the cloud center efficiently schedules and manages the virtual resources, so that the effectiveness of the cloud center is improved, and the energy consumption of the cloud data center is effectively reduced.

Description

technical field [0001] The invention belongs to the field of cloud computing and machine learning, in particular to an adaptive virtual machine scheduling method for mobile cloud computing based on improved particle swarms. Background technique [0002] Mobile cloud computing combines mobile Internet technology with cloud computing technology, and uses the massive storage capacity and high-speed computing capacity of cloud computing to make up for the shortcomings of mobile devices' computing performance, battery life and insufficient storage space, thereby providing mobile users with efficient and real-time Serve. Mobile cloud computing is a rich mobile computing technology, which utilizes the unified elastic resources of various cloud and network technologies to obtain unlimited functions, storage and mobility, and provides mobile devices anytime, anywhere through Ethernet or Internet channels. services regardless of the heterogeneous environments or platforms on which th...

Claims

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Application Information

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IPC IPC(8): G06F9/455
CPCG06F9/45558G06F2009/45579G06F2009/45583G06F2009/45595Y02D10/00
Inventor 庄毅韦传讲张夏豪
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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