Security Issues Due to Vulnerabilities in the Virtual Machine of Cloud Computing

The use of virtualization can be attributed to the success of cloud computing. However, usage of a hypervisor in a shared environment among mistrusting users presents significant challenges. This paper surveys the works on host hypervisor security issues presented in cloud computing, performing a short review of current literature on the subject. Addressing several key topics, namely threats and known attacks against the hypervisor or a virtual machine (vm) that exist in a shared environment. This paper also contains a thorough review and comparison of the current solutions and proposed mitigations for the known attacks and identifies any potential gaps. Aiming to uncover if a hypervisor can provide the level of confidentiality, integrity and availability expected by cloud consumers. Research is critically analyzed and consideration for each solutions suitability of implementation in an Infrastructure as a Service (IaaS) environment is applied, including the impact on performance, if any.

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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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The virtual machine secure migration model in cloud computing

Advances in Computer Science and Technology ◽

10.2495/iccst140671 ◽

2014 ◽

Author(s):

Z. T. Ma ◽

G. Yang ◽

H. N. Gong

Keyword(s):

Cloud Computing ◽

Virtual Machine ◽

Migration Model

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Distance Aware VM allocation process to minimize energy consumption in cloud computing

Recent Patents on Computer Science ◽

10.2174/2213275912666191023143709 ◽

2019 ◽

Vol 12 ◽

Author(s):

Gurpreet Singh ◽

Manish Mahajan ◽

Rajni Mohana

Keyword(s):

Resource Allocation ◽

Cloud Computing ◽

Energy Consumption ◽

Virtual Machine ◽

Virtual Machines ◽

Research Work ◽

Service Level Agreement ◽

Service Level ◽

Physical Machine ◽

Allocation Process

BACKGROUND: Cloud computing is considered as an on-demand service resource with the applications towards data center on pay per user basis. For allocating the resources appropriately for the satisfaction of user needs, an effective and reliable resource allocation method is required. Because of the enhanced user demand, the allocation of resources has now considered as a complex and challenging task when a physical machine is overloaded, Virtual Machines share its load by utilizing the physical machine resources. Previous studies lack in energy consumption and time management while keeping the Virtual Machine at the different server in turned on state. AIM AND OBJECTIVE: The main aim of this research work is to propose an effective resource allocation scheme for allocating the Virtual Machine from an ad hoc sub server with Virtual Machines. EXECUTION MODEL: The execution of the research has been carried out into two sections, initially, the location of Virtual Machines and Physical Machine with the server has been taken place and subsequently, the cross-validation of allocation is addressed. For the sorting of Virtual Machines, Modified Best Fit Decreasing algorithm is used and Multi-Machine Job Scheduling is used while the placement process of jobs to an appropriate host. Artificial Neural Network as a classifier, has allocated jobs to the hosts. Measures, viz. Service Level Agreement violation and energy consumption are considered and fruitful results have been obtained with a 37.7 of reduction in energy consumption and 15% improvement in Service Level Agreement violation.

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A Study of the Cloud Computing Adoption Issues and Challenges

Recent Advances in Computer Science and Communications ◽

10.2174/2213275911666181114142428 ◽

2020 ◽

Vol 13 (3) ◽

pp. 313-318 ◽

Cited By ~ 3

Author(s):

Dhanapal Angamuthu ◽

Nithyanandam Pandian

Keyword(s):

Cloud Computing ◽

High Performance ◽

Cloud Service ◽

Ease Of Use ◽

Modern Trend ◽

Security Issues ◽

Research Areas ◽

Data Location ◽

Broad Classification

Background: The cloud computing is the modern trend in high-performance computing. Cloud computing becomes very popular due to its characteristic of available anywhere, elasticity, ease of use, cost-effectiveness, etc. Though the cloud grants various benefits, it has associated issues and challenges to prevent the organizations to adopt the cloud. Objective: The objective of this paper is to cover the several perspectives of Cloud Computing. This includes a basic definition of cloud, classification of the cloud based on Delivery and Deployment Model. The broad classification of the issues and challenges faced by the organization to adopt the cloud computing model are explored. Examples for the broad classification are Data Related issues in the cloud, Service availability related issues in cloud, etc. The detailed sub-classifications of each of the issues and challenges discussed. The example sub-classification of the Data Related issues in cloud shall be further classified into Data Security issues, Data Integrity issue, Data location issue, Multitenancy issues, etc. This paper also covers the typical problem of vendor lock-in issue. This article analyzed and described the various possible unique insider attacks in the cloud environment. Results: The guideline and recommendations for the different issues and challenges are discussed. The most importantly the potential research areas in the cloud domain are explored. Conclusion: This paper discussed the details on cloud computing, classifications and the several issues and challenges faced in adopting the cloud. The guideline and recommendations for issues and challenges are covered. The potential research areas in the cloud domain are captured. This helps the researchers, academicians and industries to focus and address the current challenges faced by the customers.

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