Audvik Labs

What is resource pooling in cloud computing?


Resource pooling is an IT term used in cloud computing environments to describe a situation in which providers serve multiple clients, customers or “tenants” with provisional and scalable services. These services can be adjusted to suit each client’s needs without any changes being apparent to the client or end user.

Cloud computing platforms are accessible via internet connection. And it can be shared, managed, or developed platforms to offer dedicated services. Also, these are top-notch technologies that help clients enjoy flexibility and scalability. In the resource pooling model of cloud computing, the service provider serves multiple clients at a time. They use a multi-tenant model to handle and deal with such clients.

Therefore, this model contains IT resources such as cores, storage devices, and ram. And all these devices are treated as one to achieve flexibility in providing services. These platforms have multiple paths and have increased the speed of servers. In short, it is the multi-tenant model used in the IT industry. Here the service provider provides the same service to many clients without any technical challenges.

How Does Resource Pooling Work?

The main thing considered in resource pooling is cost-effectiveness. It also ensures that the brand provides new delivery of services. In this private cloud as a service, the user can choose the ideal resource division based on their needs.

It is most commonly used in wireless technology like radio communication. And here, single channels are joined together to build a robust connection. So, the connection can transmit without any interference.

And in the cloud, resource pooling is the multi-tenant process that depends upon the user’s demand. Here is why it is known as SaaS or Software as a Service which is controlled in a centralized manner. Also, when more and more people start using such SaaS services as service providers. The charges for the services drastically start decreasing. Hence, it becomes more accessible at a certain point than owning such technology.

Benefits of resource pooling

1. High Availability Rate

Resource pooling is a great way to make SaaS products more accessible. Nowadays, the use of such services has become common. And most of them are far more accessible and reliable than owning one. So, startups and entry-level businesses can get such technology.

2. Balanced load on the server

Load balancing is another benefit that a tenant of resource pooling-based services enjoys. In this, users do not have to face many challenges regarding server speed.

3. Provides High Computing Experience

Multi-tenant technologies are offering excellent performance to the users. Users can easily and securely hold data or avail such services with high-security benefits. Plus, many pre-built tools and technologies make cloud computing advanced and easy to use.

4. Stored Data Virtually and Physically

The best advantage of resource pool-based services is that users can use the virtual space offered by the host. However, they also moved to the physical host provided by the service provider.

5. Flexibility for Businesses

Pool-based cloud-based services are flexible as they can be transformed according to the need of the technology. Plus, users don’t have to worry about capitalization or huge investments.


Ultimately, data center resources can be logically placed into three categories. They are: compute, networks, and storage. For many, this grouping may appear trivial. It is, however, a foundation upon which some cloud computing methodologies are developed, products designed, and solutions formulated.


This is a collection of all CPU capabilities. Essentially all data center servers, either for supporting or actually running a workload, are all part of this compute group. Compute pool represents the total capacity for executing code and running instances. The process to construct a compute pool is to first inventory all servers and identify virtualization candidates followed by implementing server virtualization. It is never too early to introduce a system management solution to facilitate the processes, which in my view is a strategic investment and a critical component for all cloud initiatives.


The physical and logical artifacts putting in place to connect resources, segment, and isolate resources from layer three and below, etc., are gathered in the network pool. Networking enables resources becoming visible and hence possibly manageable. In the age of instant gratification, networks and mobility are redefining the security and system administration boundaries, and play a direct and impactful role in user productivity and customer satisfaction. Networking in cloud computing is more than just remote access, but empowerment for a user to self-serve and consume resources anytime, anywhere, with any device. BYOD and consumerization of IT are various expressions of these concepts.


This has long been a very specialized and sometimes mysterious part of IT. An enterprise storage solution is frequently characterized as a high-cost item with a significant financial and contractual commitment, specialized hardware, proprietary API and software, a dependency on direct vendor support, etc. In cloud computing, storage has become even more noticeable since the ability to grow and shrink based on demands, i.e. elasticity, demands an enterprise-level, massive, reliable, and resilient storage solution at a global scale. While enterprise IT is consolidating resources and transforming the existing establishment into a cloud computing environment, how to leverage existing storage devices from various vendors and integrate them with the next generation storage solutions is among the highest priorities for modernizing a data center.


Resource pooling is a fundamental premise of scalability in the cloud. Without pooled computing, networks, and storage a service provider must provision across multiple “silos” or discrete, independent resources with few or no interconnections. Multi-tenant environments, where multiple customers share adjacent resources in the cloud with their peers, are the basis of public cloud infrastructures. With multi-tenancy, there is an inherent increase in operational expenditures, which can be mitigated by certain hardware configurations and software solutions, such as application and server profiles.

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