Titlebook: Cloud Computing for Optimization: Foundations, Applications, and Challenges; Bhabani Shankar Prasad Mishra,Himansu Das,Alok Kum Book 2018

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Energy Aware Resource Allocation Model for IaaS Optimization,e resource allocation are also detailed. This chapter illustrates how the artificial neural network and genetic algorithm techniques are used in IaaS frame work to efficiently allocate the resources for VMs.

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Consolidation in Cloud Environment Using Optimization Techniques,ut disconnecting the user. Live VM migration is a key concept to transfer VM without disrupting services. Server consolidation and scheduled maintenance are added advantages of it. In cloud computing, moving large size of VM from one data center to other data center over a wide area network is a challenging task.

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Internet of Cloud: Security and Privacy Issues,s of Cloud computing and IoT and (2) to present security and privacy problems that these systems face. We thoroughly investigate current security and privacy preservation solutions that exist in this area, with an eye on the Industrial Internet of Things, discuss open issues and propose future directions.

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Vehicular Clouds: A Survey and Future Directions, With this in mind, the primary objective of this chapter is to present a survey of the state of the art in vehicular clouds, of the current research topics and future directions. We will take a critical look at the various vehicular cloud models proposed in the literature and their applications.

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Book 2018n applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems – ranging from social science to engineering sciences –

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