Many organizations view cloud computing as an essential part of their IT infrastructure. Both cost savings, high utilization rates, and lack of resource management make cloud computing attractive. However, organizations have encountered some serious problems in data collection or analysis. This situation has led to alternative orientations. At this point, it would be fitting to talk about Edge Computing. With this issue, there has been a significant increase in edge computing. Edge Computing technology refers to the information technology architecture that is distributed extremely close to the source near client data. The differences between Cloud Computing and Edge Computing are the focus of the article. Let’s discuss the advantages and disadvantages of both concepts.
Cloud computing refers to the provision of many computing services, from servers to storage, databases to software, over the cloud, resulting in faster innovation, economical scaling, or flexible resources. Since only the cloud operations used are paid for, costs are reduced and the infrastructure operates at a much more efficient level. It is possible to scale in line with changing business requirements.
Cloud computing is relatively flexible. While running different workloads smoothly, it can also approve resource sharing. It is extremely successful in terms of business-oriented priorities. The differences between Cloud Computing and Edge Computing will be clarified by listing the advantages and disadvantages. In this context, let’s briefly discuss the advantages and disadvantages of cloud computing.
The advantages of Cloud Computing are as follows:
- It can provide resources in a flexible structure. It creates resource priorities under sudden increases and decreases.
- It makes a difference in portability thanks to its high success in virtualization.
- Eliminates the costs of purchasing hardware and software.
- You can easily benefit from service on a global scale.
- It has low network latency.
- Increases business sustainability thanks to data security.
In addition to all these positive aspects, we need to mention the disadvantages of Cloud Computing. For example, since it is an internet-based service, there is no possibility of transportation in an area without the internet. In addition, a low internet rate will negatively affect the rate of data exchange. Besides, the possibility of data loss or theft, data leakage, account or service hijacking, and insecure interfaces and APIs are other disadvantages.
Edge Computing is a specialized technology where client data is distributed close to the source. Depending on the application, in this architecture, data can be processed by smart devices or transferred to an intermediate server close to the client’s location. In a sense, it is one of the most effective methods of optimizing information systems. Here, it takes cloud computing one step further and transforms it into a much more widespread computing cloud architecture.
As it is known, transmitting a large amount of raw data over the network is a heavy burden for resources. In such scenarios, processing data directly near the source increases efficiency. For example, this service is ideal for an organization with a geographically dispersed user base. You can choose it to expand cloud service possibilities at the local level or to increase performance levels. Lower latency, reduced costs, wider access, and data sovereignty are among the privileges of Edge Computing. Such a system is vulnerable to malware invasion and security weaknesses. More computers are needed as more data is protected at the edge. The bandwidth needs to be expanded as a result.
The right choice between Edge and Cloud should be based on the intended use and motivations. For example, in scenarios where a large data workload is more decisive, it would be wise to utilize a centralized cloud platform. In cases where urgency is important for decision-making, Edge Computing can be used to optimize, filter, and analyze data.