Research on New Virtualization Security Protection Management System Based on Cloud Platform

Abstract As an emerging product under the condition of informatization, the utilization of cloud platform in many industries has brought fundamental changes to the production and business model in related fields. The cloud platform provides rich and diverse utilization services to terminals through multi-dimensional integration of different IT resources. With the in-depth utilization of cloud platform, the security problems it faces are becoming more and more prominent. The traditional network security protection means have been difficult to effectively adapt to and deal with the security threats under the new situation of cloud platform utilization. As a prominent part of building cloud platform, the construction level of virtualization security protection system will have an intuitive impact on the security of cloud platform. At present, the virtualization security protection management system under cloud platform is facing direct threats from virtual machine deployment, virtual machine communication and virtual machine migration. Based on this, this paper studies the virtualization security protection management system of cloud platform from the perspective of virtualization security tech, so as to ameliorate the stability, reliability and security of cloud platform.

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A Defense Mechanism Based on Improved Allocation Strategy of VMs Co-Resident Attack in Power Cloud Platform

Recent Advances in Computer Science and Communications ◽

10.2174/2666255813666200311142532 ◽

2020 ◽

Vol 13 ◽

Author(s):

Yuancheng Li ◽

Pan Zhang ◽

Daoxing Li ◽

Jing Zeng

Keyword(s):

Virtual Machine ◽

Simulation Experiment ◽

Virtual Machines ◽

Defense Mechanism ◽

Security Threats ◽

Allocation Strategy ◽

Cloud Platform ◽

Deployment Strategy ◽

Dbscan Algorithm ◽

Maximum Minimum

Background: Cloud platform is widely used in electric power field. Virtual machine co-resident attack is one of the major security threats to the existing power cloud platform. Objective: This paper proposes a mechanism to defend virtual machine co-resident attack on power cloud platform. Method: Our defense mechanism uses the DBSCAN algorithm to classify and output the classification results through the random forest and uses improved virtual machine deployment strategy which combines the advantages of random round robin strategy and maximum/minimum resource strategy to deploy virtual machines. Results: we made a simulation experiment on power cloud platform of State Grid and verified the effectiveness of proposed defense deployment strategy. Conclusion: After the virtual machine deployment strategy is improved, the coverage of the virtual machine is remarkably reduced which proves that our defense mechanism achieves some effect of defending the virtual machine from virtual machine co-resident attack.

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Pacer: A Progress Management System for Live Virtual Machine Migration in Cloud Computing

IEEE Transactions on Network and Service Management ◽

10.1109/tnsm.2013.111013.130522 ◽

2013 ◽

Vol 10 (4) ◽

pp. 369-382 ◽

Cited By ~ 32

Author(s):

Jie Zheng ◽

T. S. Eugene Ng ◽

Kunwadee Sripanidkulchai ◽

Zhaolei Liu

Keyword(s):

Cloud Computing ◽

Virtual Machine ◽

Management System ◽

Virtual Machine Migration ◽

Progress Management

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Optimizing Virtual Machine Migration for Energy-Efficient Clouds

IEICE Transactions on Communications ◽

10.1587/transcom.e97.b.450 ◽

2014 ◽

Vol E97.B (2) ◽

pp. 450-458 ◽

Cited By ~ 7

Author(s):

Marat ZHANIKEEV

Keyword(s):

Virtual Machine ◽

Energy Efficient ◽

Virtual Machine Migration

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A Hybrid Approach for Virtual Machine Migration in Cloud Computing Environment

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i9.407 ◽

2017 ◽

Vol 7 (9) ◽

pp. 30 ◽

Cited By ~ 1

Author(s):

Ramandeep Kaur

Keyword(s):

Cloud Computing ◽

Virtual Machine ◽

Heuristic Algorithms ◽

Hybrid Approach ◽

Cloud Infrastructure ◽

Virtual Machine Migration ◽

Bee Colony ◽

Effective Manner ◽

Effective Performance

A lot of research has been done in the field of cloud computing in computing domain. For its effective performance, variety of algorithms has been proposed. The role of virtualization is significant and its performance is dependent on VM Migration and allocation. More of the energy is absorbed in cloud; therefore, the utilization of numerous algorithms is required for saving energy and efficiency enhancement in the proposed work. In the proposed work, green algorithm has been considered with meta heuristic algorithms, ABC (Artificial Bee colony .Every server has to perform different or same functions. A cloud computing infrastructure can be modelled as Primary Machineas a set of physical Servers/host PM1, PM2, PM3… PMn. The resources of cloud infrastructure can be used by the virtualization technology, which allows one to create several VMs on a physical server or host and therefore, lessens the hardware amount and enhances the resource utilization. The computing resource/node in cloud is used through the virtual machine. To address this problem, data centre resources have to be managed in resource -effective manner for driving Green Cloud computing that has been proposed in this work using Virtual machine concept with ABC and Neural Network optimization algorithm. The simulations have been carried out in CLOUDSIM environment and the parameters like SLA violations, Energy consumption and VM migrations along with their comparison with existing techniques will be performed.

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