Cloud Computing Research Topics
Published: 2022-07-20 11:12:16

Since its inception in 2000, cloud computing has revolutionized data management for individuals and companies. In recent years, companies like Amazon, Google, and Microsoft have become the core for data hosting worldwide. Along with the creation of many employment opportunities for data analysts and IT experts worldwide, cloud computing jas helped countless companies manage and secure their data. Cloud computing has offered better flexibility and Scalability, which was initially an expensive and time-consuming task by automating processes that individual companies initially did.

Even though cloud computing is at an all-time high, valued at 371.4 billion dollars, it still has room for expansion. In contrast to most people’s thinking, cloud computing is a compilation of various entities. These techniques could help better implement the concept of cloud computing into our daily lives if taken into serious consideration. By researching privacy-preserving models and information-centric security, IT technicians hope to improve the safety of the data we store in the cloud. We will be taking a look at some of the research topics that encompass cloud computing.

**Big data**

Programs run by big companies tend to produce enormous amounts of data in a short period. This data is called big data. This data is usually too much to store in in-house servers that require constant maintenance and updates. Cloud computing allows companies to keep their big data without buying additional physical storage devices and hiring personnel to install and maintain them while also saving time in the process. Big data is categorized into Structured and unstructured data. Structured information is stored in a specific format or order, while unstructured data is stored as uploaded without being arranged. Data is organized in three ways: Variety, Volume, and Velocity. Variety is simply the format in which data is stored; it could be images, text, audio, and many more. Volume is the quantity of data a particular service provider holds. Velocity refers to the speed at which data is generated and transmitted.

Big data provides invaluable insights into customer preferences and information for companies to help them give better services.

**Cloud deployment models**

Cloud deployment models are the various techniques that service providers use to allocate access to the cloud. You can think of them as packages. The primary deployment models in cloud computing are Public, Private, Hybrid, and Community cloud. The location of the infrastructure is what determines the deployment method used. For instance, Public deployment services offer access to users that any organization does not register; the general public .But access is controlled by a third party. Private deployment models are used by organizations that want to keep data accessible only by authorized parties. Hybrid models involve private and public models and the public portion gives access to non-critical data. In contrast, the private part only offers access to the more critical data bit to authorized people. On the other hand, provides access to the community model for all users who subscribe to cloud services.

**Data security**

Firewalls, virtual private networks, and tokenization enhance data security. Security is one of the biggest concerns in cloud computing. Most companies are still skeptical about leaving the safety of their sensitive data to outside parties. There are three distinct subfields of data security research: trustworthy computing, information-centric security, and privacy-preserving models. Apart from that, taking precautions to safeguard Accessibility, Integrity, and Confidentiality brings data closer to being secure. As more organizations opt for cloud hosting, it is quite comforting for them to be sure that their information is protected.

**Mobile cloud computing**

Mobile cloud computing has to be one of the best innovations of cloud computing. It offers longer battery life and immense flexibility, but it is also cheaper since mobile phones are cheaper to acquire compared to personal computers. With a phone as an access point, users can log into the cloud quickly and carry out processes at will and from anywhere on the planet with a good internet connection.

**DevOps**

DevOps is designed to do away with the barrier between Development and Operations, the combined terms to form DevOps. Cloud computing eliminates the need for sophisticated software by integrating various tools and technologies used to build, test, and distribute applications quickly. As an added advantage, these tools can be tailor-made to fit the specifications required by a particular organization or individual.

**Edge Computing**

This practice involves processing data close to the source rather than in data warehouses. This practice eradicates the premise of delayed response since the node nearest to the source holds the data. It also increases the security of data without compromising efficiency.

**Containerization**

Containerization is the ability of the cloud to host an operating system on a virtual host space.Co allows the user to remotely run a program and access its corresponding resources to increase developer productivity. Containerization offers all virtual machine features but at a lower price since cloud computing is in a stable environment. This aspect of cloud computing has allowed flexibility at its peak; even when the hardware cannot perform specific tasks, users can still deliver on their work.