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1.2 Hybrid Cloud

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If we go by the definition of National Institute of Standards and Technology [3], hybrid cloud is a “composition of two or more different types of cloud infrastructure that are bind together with the help of proprietary and standardized technology for the purpose of data and application portability. So, Simple amalgamation of cloud and on-premise data should not misinterpret as hybrid cloud. It should also provide the following facilities [2]:

 Workload distribution by portability.

 Networking between system and devices, by the use of LAN, WAN, or VPN.

 Use of a comprehensive unified automation tool.

 A complex powerful middleware for abstracting the background details.

 Incorporating availability and scalability of resources.

 Integrating disaster management and recovery strategies.

Thus, it enables the customer to extend their business by leveraging the attractive services provided by public cloud as well as securing the delicate data through the use of private cloud. When the demand of a business fluctuates that may be sudden peak in the business come or sudden fall down, in those scenarios, hybrid cloud is the best possible option as it has that flexibility [8]. Organizations can seamlessly use public cloud amenities without directly giving access to their data centers which are part of their on-premise servers. So, business critical data and applications can be kept safe behind, while computing power of the public cloud can be used for doing complex tasks. Organizations will only have to pay for the services it is using without considering the capital expenditure involve in purchasing, programming and maintaining new resources which can be used for a short span of time and may remain idle for long. Private cloud on the other hand is more like public cloud, but generally installed on clients datacenter and mainly focus on self-servicing, scalable structure. Single tone service nature, service-level agreement (SLA), and similar association make the relationship between client and cloud stronger and less demanding [33, 34].

Machine Learning Techniques and Analytics for Cloud Security

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