A Survey on Data Mining Techniques to Classify Inactive VMs

Authors: Vaidehi Bakshi, Mohit Jain

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Abstract

Cloud computing is a new generation computing technology. A wide range of service providers and application developers are accepting the strength of cloud computing. Among various reasons behind efficient computing in cloud the virtualization is one of the essential techniques to obtain the high performance computing. In this context the effective Usage of VMs in a data center is helpful to improve the performance of cloud computing. In this presented work a data mining algorithm is employed for recognizing the inactive VMs in a data center. Therefore a rich survey on data mining techniques is performed. This paper provides the essential contributions in the domain of inactive VM classification. Additionally the key issues and challenges for finding solution are proposed in this paper. The presented solution is implemented in future and the performance improvement is provided.

Introduction

Cloud computing -Cloud computing is the delivery of ondemand computing services -- from applications to storage and processing power -- typically over the internet and on a pay-as-you-go basis. Cloud computing is the use of various services, such as software development platforms, servers, storage and software, over the internet, often referred to as the "cloud." In general, there are three cloud computing characteristics that are common among all cloud-computing vendors, 1. The back-end of the application (especially hardware) is completely managed by a cloud vendor. 2 .A user only pays for services used (memory, processing time and bandwidth, etc.). 3. Services are scalable Many cloud computing advancements square measure closely associated with virtualization. The ability to pay on demand and scale quickly is basically a result of cloud computing vendors having the ability to pool resources that will be divided among multiple shoppers. The cloud technology has been gaining great momentum. There square measure a series of layers that square measure interconnected and exist supported the previous layers. Cloud computing has 3 totally different service layers that square measure offered as services.

Conclusion

The main aim of the proposed work is to design and develop a supervised learning technique that helps to classify the inactive VMs. The classifications of the inactive VMs are performed on the basis of different VM characteristics or VM features that help to easily recognize the active and inactive VMs. In this context the paper provides the understanding about the cloud computing and their basic components. These components are help to support the cloud computing infrastructure. In addition of the some of the essential and noteworthy contributions are also reported that worked for improving the cloud computing performance by eliminating the inactive VMs. Finally the key issues in the domain of inactive VM classification are reported and the solution for design and development is proposed. In near future the proposed concept is implemented and their performance is reported.