Private cloud computing infrastructure

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Private cloud computing infrastructure is a category of cloud computing that provides comparable benefits to public cloud systems, such as self-service and scalability, but it does so via a proprietary framework. In contrast to public clouds, which cater to multiple entities, a private cloud is specifically designed for the requirements and objectives of one organization.

Contents

Definition

A private cloud computing infrastructure constitutes a distinctive model of cloud computing that facilitates a secure and distinct cloud environment where only the intended client can function. [1] It can either be physically housed in the organization's in-house data center or be managed by a third-party provider. In a private cloud, the infrastructure and services are always sustained on a private network, and both the hardware and software are devoted exclusively to a single organization. [2] [3]

History

The concept of private cloud infrastructure started to take shape around the mid-2000s, coinciding with the rise of other cloud computing forms. It came into existence as a solution to the shortcomings of public clouds, particularly concerns over data control, security, and network performance. [4] [5] IT departments began to mirror the automation and self-service features of the public cloud in their data centers. Over time, these services became more advanced, and private cloud technology has been refined to address businesses and organizations' diverse needs. [1]

Architecture

Private cloud computing infrastructure generally involves a mix of hardware, network infrastructure, and virtualization software. [6] [7] [8]

Applications

Private cloud infrastructures are usually utilized by medium to large businesses and organizations that need robust control over their data, have extensive computing needs, or have specific regulatory or compliance obligations. This includes healthcare organizations, government agencies, financial institutions, and any business that needs to process and store large data volumes. [9]

See also

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References

  1. 1 2 Davidovic, Vlatka; Ilijevic, Denis; Luk, Vanja; Pogarcic, Ivan (2015-01-01). "Private Cloud Computing and Delegation of Control". Procedia Engineering. 25th DAAAM International Symposium on Intelligent Manufacturing and Automation, 2014. 100: 196–205. doi: 10.1016/j.proeng.2015.01.358 . ISSN   1877-7058.
  2. ↑ Munir, Kashif; Al-Mutairi, Mubarak S.; Mohammed, Lawan A., eds. (2015). Handbook of research on security considerations in cloud computing. Advances in information security, privacy, and ethics (AISPE) book series. Hershey, PA: Information Science Reference, an imprint of IGI Global. ISBN   978-1-4666-8387-7.
  3. ↑ Davidovic, Vlatka; Ilijevic, Denis; Luk, Vanja; Pogarcic, Ivan (2015). "Private Cloud Computing and Delegation of Control". Procedia Engineering. 100: 196–205. doi: 10.1016/j.proeng.2015.01.358 .
  4. ↑ Marinescu, Dan C. (2023). Cloud computing: theory and practice (3rd ed.). Cambridge, MA: Morgan Kaufmann Publishers. ISBN   978-0-323-85277-7.
  5. ↑ Marinescu, Dan (2013). Cloud Computing. Theory and Practice (1 ed.). Morgan Kaufmann. ISBN   9780124046412.
  6. ↑ Huawei Technologies Co., Ltd. (2023). "Cloud Computing Technology". SpringerLink. doi: 10.1007/978-981-19-3026-3 . ISBN   978-981-19-3025-6.
  7. ↑ Stradi-Granados, Benito A. (2020). "Cloud Computing for Engineering Applications". SpringerLink. doi:10.1007/978-3-030-40445-1. ISBN   978-3-030-40444-4. S2CID   216293867.
  8. ↑ Terzo, Olivier; Mossucca, Lorenzo (2015). Cloud Computing with e-Science Applications. CRC Press. ISBN   9780367738532.
  9. ↑ Aryotejo, Guruh; Kristiyanto, Daniel Y; Mufadhol (2018). "Hybrid cloud: bridging of private and public cloud computing". Journal of Physics: Conference Series. 1025 (1): 012091. Bibcode:2018JPhCS1025a2091A. doi: 10.1088/1742-6596/1025/1/012091 . ISSN   1742-6588.
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