Cloud computing is a model of computer technology that allows users to access remote computing power over the internet. Cloud computing has been widely adopted by businesses and consumers alike, but there are some drawbacks. For example, cloud computing requires large amounts of electricity which can be expensive in developing countries where electricity is often subsidized.
Edge computing is a type of computing that uses the power of personal computers, tablets, and mobile devices to process data. Cloud computing is a type of computing that provides shared resources over the internet. These two types of computing are often compared to each other.
With the rapid advancement of technology, there is frequently a mix-up of similar-sounding terms. It’s often tough to draw a boundary between a few technologies for gadgets because of the manner they’re shown. Edge Computing and Cloud Computing are both similar technologies.
Computing, in its purest form, refers to any activity that necessitates the use of a laptop or computer to manage, process, and transmit data and information.
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A cloud is an internet-based network comprising numerous servers, storage, databases, and other services that all perform distinct tasks. Initially, the cloud was associated with distributed computing in the 1990s, although the phrase “cloud computing” was coined in 1996. Cloud computing is a kind of computing that uses the allows users to access the same set of programs and data from virtually any device, anywhere in the globe. Because these files are kept on a cloud server or data center rather than on a user’s device, this is feasible. Cloud computing is growing more popular among people and companies as a result of its accessibility.
The cloud is a collection of interconnected networks.
The literal definition of cloud computing is the delivery of computer services via a network. Because of virtualisation, cloud computing may be implemented. Virtualisation, often known as virtual machine, is a technique that enables you to create a digital, simulated computer. This operates similarly to a real computer, but with its own hardware. Two separate virtual machines on the same physical system cannot interact or even see one other’s files and other programs. They are completely confused and separated from one another.
A single server may act as many servers when multiple virtual machines are running at the same time. The data center also houses numerous data centers, allowing it to serve various individuals and organizations while also offering cloud services to a larger number of people. The additional advantage of cloud servers is that even if a single server fails, the cloud server will always be backed up, live, and accessible. The cloud services are backed up by their providers on numerous computers in various locations.
Users may access cloud services using any browser or program that connects to the cloud via the internet, regardless of device. Cloud computing is available in two flavors: public and private. For a charge, anybody may use the public cloud services via the internet. Private cloud services, on the other hand, are only accessible to a limited number of individuals and are provided via a network system. There are also hybrid clouds, which mix public and private cloud components.
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Cloud computing has many different types.
Cloud computing consists of four services.
- Software as a Service (SaaS): SaaS apps are hosted on cloud servers and may be accessed directly online for a nominal charge by users without the need to install them locally on their devices. Slack, Salesforce, and MailChimp are examples of SaaS.
- PaaS (Platform as a Service): PaaS offers a platform for businesses to create and build applications directly over the Internet. This covers everything from operating systems to infrastructure to developer tools. Instead than providing the software directly, PaaS offers the creative platform. Microsoft Azure and Heroku are two examples of PaaS.
- Infrastructure as a Service (IaaS): In IaaS, businesses rent servers and storage from cloud providers and then utilize it to develop their own applications and infrastructure. IaaS offers all of the necessary materials and equipment to the businesses. OpenStack, Google Compute Engine, and DigitalOcean are examples of IaaS providers.
- Function as a Service (FaaS): FaaS, also known as serverless computing, is a relatively new addition to the cloud services. It breaks down cloud apps into smaller components that may be started and stopped as needed.
Advantages and Drawbacks
Cloud computing has many benefits, making it a highly smooth technology.
- Major cost savings, since all apps and infrastructures are no longer purchased individually.
- Access to files and numerous devices is easier and quicker, regardless of location.
- All data, music, documents, pictures, and many more may be backed up instantly, saving hardware storage space.
- Cloud providers have a diverse range of rules and technology in place to ensure that any data stored in the cloud is secure.
- Flexibility in usage, since the programs may be tailored to the requirements of the server.
There are two sides to every coin. Although cloud computing has shown to be very helpful and beneficial, it does have certain disadvantages.
- While encryption ensures data and file security, if the encryption key is lost, the data and files are destroyed.
- Internal problems and power outages in the geographic location where the servers are maintained may cause work to be obstructed in another geographic location.
- Managers and workers must both study and comprehend the technology in order to prevent any mistakes or accidents that may jeopardize the whole system.
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The origins of Edge Computing may be traced back to the 1990s, when the Content Delivery Network (CDN) was born; nevertheless, it became increasingly prominent as the need for IoT applications grew. Gartner named Edge Computing as one of the top trends for 2018, describing it as “a distributed computing architecture where information processing is situated near the edge, where objects and people generate or consume that information.”
Data is traditionally generated at the customer’s end, sent to the internet through the corporate LAN, and processed. Traditional techniques are sluggish and inefficient in the face of growing quantities of data output across many devices. As a result, the edge idea was born, in which storage and processing resources are moved closer to the data production center. This aids in the reduction of data latency, particularly real-time data.
Edge Computation is bringing computer solutions and client needs closer together by simplifying. While data and information previously had to travel great distances to a centralised location or cloud data centres for analysis and processing, edge computing brings these capabilities closer to the device and user, removing the need to travel to and from cloud data centres.
Computing at the edge lowers the need for cloud computing but does not fully eliminate it. Edge computing services and hardware may process and store data locally from various systems that generate data, delivering just the relevant and necessary data to the cloud.
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Edge computing has made a statement as a fast-emerging technology and has been a benefit to a variety of other technologies.
- IoT devices – Increasing the efficiency and user interaction interface of IoT devices by executing the code and simulation locally rather than on the cloud.
- Medical monitoring systems — When it comes to medical devices, real-time data is critical for optimal patient monitoring, and the devices must respond in real-time, rather than waiting for the cloud server to analyze and transmit information.
- Self-driving vehicles — In order to prevent accidents, self-driving cars need real-time instruction and data, and therefore cannot wait for the cloud server to process and transmit information.
- To sustain processing capacity for automated coordination of heavy equipment, manufacturers and other heavy industries utilize edge hardware for delay-intolerant applications.
- Edge computing is also used by streaming companies such as Netflix, Amazon, Hulu, HBO Max, and others, which allow millions of users in various regions to access their services without disrupting the core network infrastructure.
Netflix is a good example of edge computing.
Advantages and Drawbacks
Edge computing offers a number of benefits that make it a more appealing and feasible alternative for data processing and computing.
- Because the processing unit is on the edge rather than in the cloud, less bandwidth is needed.
- The amount of server resources needed is decreased overall.
- Reduced costs owing to reduced bandwidth and server resources.
- Reduced latency since it doesn’t have to connect with a separate server for each piece of data.
- Real-time data processing and analysis.
- Because the calculated work is handled centrally, the process of encryption and privacy is simplified.
It offers a number of benefits, but it also has a few drawbacks.
- Because the administration is a little difficult, the security and privacy of the data may be questioned at times if not handled correctly.
- Because of the large number of devices that are combined, linked, and working together, it may lead to a rise in malicious attackers.
- It requires a significant amount of local hardware.
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|Parameter||Edge computing||Cloud computing|
|Hardware||More gear is needed on the ground.||Locally, less hardware is needed.|
|Mechanism of Operation||Methodology that is decentralized.||Methodology that is centralized.|
|Costing||Cloud is more expensive.||A tad taller than the rim.|
|Latency||The latency is very low.||Latency is a little longer.|
|Threats to security||Security hazards are higher.||Reduced security threats.|
|Security||Strong security plans with sophisticated authentication mechanisms are required.||It is not necessary to have a really detailed strategy.|
|the value of time||Mechanism that is time-dependent||It isn’t time-based.|
|Data||Mostly works with real-time data.||With non-real-time data, it works better.|
|Data transmission||Only useful data is processed and sent, with the remainder being discarded.||Transfers all data, regardless of how important it is.|
|Suitability||Suitable for medium-sized businesses with a limited budget.||Suitable for businesses that deal with significant amounts of data storage and operations.|
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An engineering student, a creative geek, a TT player, and a voracious reader.
The relationship between edge computing and cloud computing is a debate that has been going on for a while. There are pros and cons to both types of computing, but the most important thing is that they each fulfill different needs.
Frequently Asked Questions
What is the difference between edge computing and cloud computing?
Will edge computing replace cloud computing?
Yes, edge computing is the next phase in cloud computing.
What are the advantages of edge computing as compared to the cloud computing?
Edge computing is a model where computation and data are processed close to the user, as opposed to being processed on a central server. This allows for better performance and more efficient use of resources.
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