Cloud Computing-Oriented Virtual Machine Live Migration Mechanism

2014 ◽  
Vol 513-517 ◽  
pp. 1731-1734
Author(s):  
Yi Qiu Fang ◽  
Zhi Chao Song ◽  
Jun Wei Ge
Keyword(s):  
Data Transmission ◽  
Transmission Probability ◽  
Migration Time ◽  
Live Migration ◽  
Prediction Probability ◽  
Migration Mechanism ◽  
Probability Prediction ◽  
Locality Principle ◽  
Virtual Machine Live Migration ◽  
Total Migration

In the process of memory pre-copy, aiming at the characteristic which the dirty pages may be re-transmitted, dirty pages based on the probability prediction pre-copy mechanism is proposed, which aims to reduce the data transmission and total migration time. The mechanism uses temporal locality principle, on the pages before transmission, probability prediction for memory page, give priority to transmission of dirty pages prediction probability low memory pages, avoiding high dirty pages resend. Simulation results show that: the mechanism can reduce the amount of data transmission, reducing downtime and total migration time.

Live Migration for Virtual Machine Based on Kalman Prediction of Dirty Pages

2014 ◽  
Vol 668-669 ◽  
pp. 1363-1367 ◽  
Author(s):  
Zhi Hong Sun ◽  
Xian Lang Hu
Keyword(s):  
Virtual Machine ◽  
Migration Time ◽  
Live Migration ◽  
Virtual Machine Migration ◽  
Memory State ◽  
Dynamic Memory ◽  
Virtual Machine Live Migration ◽  
Migration Method ◽  
Kalman Prediction ◽  
Total Migration

The live migration of virtual machine (VM) is an important technology of cloud computing. Down-time, total migration time and network traffic data are the key measures of performance. Through the analysis of dynamic memory state of a virtual machine migration process, we propose a dirty pages algorithm prediction based on pre-copy to avoid dirty pages re transmission. Experimental results show that, compared with the Xen virtual machine live migration method adopted, our method can at least reduce 15.1% of the total amount of data and 12.2% of the total migration time.

Analytical Approach to Estimating Total Migration Time of Virtual Machines With Various Applications

2020 ◽  
Vol 11 (2) ◽  
pp. 58-75
Author(s):  
Andrew Toutov ◽  
Anatoly Vorozhtsov ◽  
Natalia Toutova
Keyword(s):  
Analytical Approach ◽  
Virtual Machines ◽  
Migration Time ◽  
Characteristic Functions ◽  
Live Migration ◽  
File Storage ◽  
Laguerre Series ◽  
Cloud Applications ◽  
Total Migration

Cloud applications and services such as social networks, file sharing services, and file storage have become increasingly popular among users in recent years. This leads to the enlargement of data centers, and an increase in the number of servers and virtual machines. In such systems, live migration is used to move virtual machines from one server to another, which affects the quality of service. Therefore, the problem of finding the total migration time is relevant. This article proposes analytical approach to obtaining analytical expression of the probability density of the total migration time based on the use of the apparatus of characteristic functions. The obtained expression is used to calculate characteristics of migration, taking into account the applications contributing the most randomness to the total migration time. To simplify the calculation of migration characteristics, the use of the Laguerre series can be recommended as giving more reliable results compared to Gram-Charlier series.

scholarly journals An overview of virtual machine live migration techniques

2019 ◽  
Vol 9 (5) ◽  
pp. 4433
Author(s):  
Artan Mazrekaj ◽  
Shkelzen Nuza ◽  
Mimoza Zatriqi ◽  
Vlera Alimehaj
Keyword(s):  
Virtual Machine ◽  
Performance Metrics ◽  
Virtual Machines ◽  
Optimal Solutions ◽  
Live Migration ◽  
Time Performance ◽  
Virtual Machine Live Migration ◽  
Memory Network ◽  
And Storage ◽  
Total Migration

In a cloud computing the live migration of virtual machines shows a process of moving a running virtual machine from source physical machine to the destination, considering the CPU, memory, network, and storage states. Various performance metrics are tackled such as, downtime, total migration time, performance degradation, and amount of migrated data, which are affected when a virtual machine is migrated. This paper presents an overview and understanding of virtual machine live migration techniques, of the different works in literature that consider this issue, which might impact the work of professionals and researchers to further explore the challenges and provide optimal solutions.

ABDM : Agent Based Live Migration of Virtual Machines in Cloud Computing For Multimedia Data

2018 ◽  
pp. 9-17
Author(s):  
K. Syed Ibrahim ◽  
Dr. A. R. Mohamed Shanavas
Keyword(s):  
Cloud Computing ◽  
Virtual Machines ◽  
Exit Time ◽  
Multimedia Data ◽  
Migration Time ◽  
Source Node ◽  
Destination Node ◽  
Live Migration ◽  
Agent Based ◽  
Total Migration

Migration time is one of the metric to measure the performance of the algorithm for live migration. In this paper we have introduced a new parameter for live migration of virtual machines (VM) called the ‘Exit Time’ which is defined as the time to eject the state of one or more VMs from the source node. Exit Time defines how rapidly the VM can be taken out from the source node and its resources are freed for reallocating other tasks. We present an Agent Based Live Migration which disconnects the source node from the destination node during migration to reduce the exit time if the destination is slow. The source distributes the memory of VMs to multiple intermediate nodes organized by a middleware. Simultaneously, the destination collects and merges the VMs’ memory from the intermediate nodes. Thus exit from the source node is no longer resisted by the receiving speed of the destination. We support simultaneous live exit of multiple VMs and our ABDM implementation in the CloudSim platform reduces the exit time by a considerable amount against the traditional pre-copy and post-copy migration at the same time keeping the total migration time when the destination node is sluggish than the source

scholarly journals Enhancing Virtual Machine Live Migration Time Using Vcpu Limits

2018 ◽  
Vol 7 (4.16) ◽  
pp. 28-31
Author(s):  
Aula Abdel Latief Dewan ◽  
Rabah Abood Ahmed
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Virtual Machine ◽  
Data Centers ◽  
Migration Time ◽  
Live Migration ◽  
Important Method ◽  
Virtual Machine Live Migration ◽  
Computing Platforms

In the Cloud Computing, the live migration of a virtual machine or VM from one physical machine to another is a vital process applied on the service provider side. Live migration helps administrators manage data centers resources optimally. Due to the intensive daily use, it is necessary to improve the performance of VM migration-this is reflected in improving the quality of service provided to the customer while minimizing the costs incurred. Pre-copy is an important method of live migration that has been adopted in many cloud computing platforms. One main drawback of this method is the degradation of its performance when the migrating VM runs one or more of the processes that write on the memory pages faster than the speed of transferring those pages. This makes migration time-consuming. In this paper, we propose an approach to address this issue by reducing the generation rate of the modified pages while maintaining the service provided to the customer. This approach was applied to the real Xen platform and the results showed an improvement in the time of live migration of the virtual machine that runs an intensive write process up to 40% compared to the migration time of the original Xen platform.  

An Experimental Study on Virtual Machine Live Migration Impact on Services Performance

2019 ◽  
Vol 38 (2) ◽  
pp. 291-320
Author(s):  
Petrônio Bezerra ◽  
Marcela Santos ◽  
Edlane Alves ◽  
Anderson Costa ◽  
Fellype Albuquerque ◽  
...  
Keyword(s):  
Experimental Study ◽  
Virtual Machine ◽  
Live Migration ◽  
Virtual Machine Live Migration

scholarly journals A New Analysis Model for Potential Contamination of a Shallow Aquifer from a Hydraulically-Fractured Shale

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3010
Author(s):  
Weihong Peng ◽  
Menglin Du ◽  
Feng Gao ◽  
Xuan Dong ◽  
Hongmei Cheng
Keyword(s):  
Migration Time ◽  
Shallow Aquifer ◽  
Contaminant Migration ◽  
Analysis Model ◽  
Shallow Aquifers ◽  
Shale Formations ◽  
Migration Mechanism ◽  
Shale Reservoirs ◽  
Time Required ◽  
The Impact

Hydraulic fracturing (HF) is widely used in shale gas development, which may cause some heavy metals release from shale formations. These contaminants could transport from the fractured shale reservoirs to shallow aquifers. Thus, it is necessary to assess the impact of pollution in shallow aquifers. In this paper, a new analysis model, considering geological distributions, discrete natural fractures (NFs) and faults, is developed to analyze the migration mechanism of contaminants. Furthermore, the alkali erosion of rock caused by high-pH drilling of fluids, is considered in this paper. The numerical results suggest that both NFs and alkali erosion could reduce the time required for contaminants migrating to aquifers. When NFs and alkali erosion are both considered, the migration time will be shortened by 51 years. Alkali erosion makes the impact of NFs, on the contaminant migration, more significant. The migration time decreases with increasing pH values, while the accumulation is on the opposite side. Compared with pH 12.0, the migration time would be increased by 45 years and 29 years for pH 11.0 and 11.5, respectively. However, the migration time for pH 12.5 and 13.0 were found to be decreased by 82 years and 180 years, respectively. Alkali erosion could increase the rock permeability, and the elevated permeability would further enhance the migration velocity of the contaminants, which might play a major role in assessing the potential contamination of shallow aquifers.

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