Machine Learning Techniques and Analytics for Cloud Security. Группа авторов

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to dealt by vendors, and how AI can help in this regard. The following sections deal with all this topics.

      1.2 Hybrid Cloud

      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.

      1.2.1 Architecture

      In case of hybrid cloud architecture, the following is a list of properties that must to be kept in mind [4]:

      1 a. Multiple devices need to be connected via LAN, WAN, or VPN with a common middleware that provides an API for user services. Rather than using a vast network of API, a single operating system must be used throughout the network and APIs can be built on top of that.

      2 b. Resources are made available to all the connected devices via virtualization and it can be scaled up to any limit.

      3 c. The middleware does all the coordination between devices and resources are made available on demand basis with proper authentication.

      1.2.2 Why Hybrid Cloud is Required?

      Hybrid cloud means different service to different people [5]. Need of an organization depends on diverse aspects of IT. As the perspective of application designer, business developer, and infrastructure support personnel is different from one another, their expectation from the system also varies.

Schematic illustration of general architecture of hybrid cloud.

       Application programmer always requires support for edge technologies. Availability of high-end resources and cutting edge technology support is the primary concern of a developer. Off premise support for such is essential. Flexibility in deployment of changing technology services, speedy availability of the new resources required by the solution, peak support for on-premise system, and seamless and continuous integration of system services are key issues need to be dealt in hybrid cloud. Disaster management is also an integral part of it.

       On the contrary, infrastructure support personnel always look for a steady build in support for smooth execution of overall activities of the organization. Off premise support for virtualized computing resources is often necessary in IT. In this scenario, the role of infrastructure support team is very crucial. Visibility of all the resources wherever it is, monitoring them in federated way following SLA, management of deployed setup for auditing and security management, accessibility of all resources, and control provisioning are key consideration in case of hybrid cloud.

       Business developer, on the other hand, focuses on consumer marketing in cost-effective manner [6]. The need of IT business has manifolds. Support for newly growing technology like mobile or web-based application requires agile and easy to extend network, and at the same time, consistent system and stable process management services cannot be replaced. So, business developers have to look into all these aspects, and at the same time, they have to focus on the cost. The maintenance and management cost should not exceed the overall financial budget. Looking at the SLAs and software license exposure, they need to design financial plans that can fulfill the whole organization’s prerequisites.

      No matter how well we plan the future, it still remains uncertain and hybrid cloud provides the facility to use cloud services as and when it is required. It is also quite unlikely that workload of an organization remains same throughout the whole year. Suppose an organization is working on big data analytics, it can take help of public cloud computing resources for high complex computations but that too is not needed for long run, may be require for few months. Here, public cloud resources can be borrowed for few months only. In the same way, startup companies can start with some trivial private resources and take cloud services for rest of the processing. Then, based on the performance, they can plan to expand the business with the help of public cloud. All these are possible only in case of hybrid cloud as it has agility, scalability, data reliability, speedy recovery, and improved connectivity and security.

      1.2.3 Business and Hybrid Cloud

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