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Virtual Machine Migration in Cloud Computing Performance, Issues and Optimization Methods

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Cloud Computing for Optimization: Foundations, Applications, and Challenges

Part of the book series: Studies in Big Data ((SBD,volume 39))

Abstract

This chapter tries to broaden the reader’s perspective on Virtualization and how it works at the heart of Cloud Computing. Advantageous features of virtualization such as cost effectiveness, portability, security etc. can be manipulated to effectively provide cloud services to users. Virtualization can create an image of personal servers while in reality storing, processing and manipulation of data is done on a few physical servers present at the data centres of cloud service providers. We further focus on need for virtualization in the following topics: migrate workloads as needs change, protect apps from server failure, maximising uptime, consolidation and resource optimization. That done, we want the reader to learn about the architectural design of working and storage structures of a key virtualization technology, VMWare) elaborating on their functionalities, how performance goals are met, reduction of complexity and increasing reliability, security.

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Correspondence to Preethi P. S. Rao .

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Rao, P.P.S., Kaustubh, R.D., Nair, M.K., Kumaraswamy, S. (2018). Virtual Machine Migration in Cloud Computing Performance, Issues and Optimization Methods. In: Mishra, B., Das, H., Dehuri, S., Jagadev, A. (eds) Cloud Computing for Optimization: Foundations, Applications, and Challenges. Studies in Big Data, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-73676-1_7

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  • DOI: https://doi.org/10.1007/978-3-319-73676-1_7

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