Edge Computing vs. Cloud Computing – Which is better?

Edge computing and cloud computing are considered as the mutual privileged access to the network framework. The functionality of both differs somehow, but they have their uses in today’s technology world. Before knowing which is better, you must be aware of what both these technologies mean.

What is edge computing?

The edge computing definition stands for playing a pivotal role in bringing bandwidth-intensive data files and latency-sensitive business applications in closeness to the end-user or data source. Edge computing places data procurement, function controlling and storage capacity of bandwidth-intense applications closer to the end-user. This kind of computing technology is applied to a network end-point. In simple words, this computing platform is subservient on the internet or private network which is a united part of bigger cloud architecture.

Now that we are familiar with what is edge computing, the next is the role of edge computing plays in minimizing the abeyance challenges. The delay in information or service recovery also leads to dismay.  Workloads that are generated from bandwidth-intensive streaming video generally causes network congestion and delays. Consequently, this makes users switch the service provider, and it acts as a drawback for any business. Therefore, it is immensely important to ensure that all your critical websites, applications and other forms of services load faster in a stipulated time frame. Edge data centers are the best alternative as it brings bandwidth-intensive data nearer to the end-user and latency-allied applications nearer to the data.

Herein both computing power and storage capacities are applied directly on the edge of the network that helps in trimming down the transport time and enlarging the availability of applications.    

Advantages of edge computing

Being a new approach to network framework, it helps the management to fissure beyond the constraints appointed by traditional cloud-based networks. With a clear edge computing definition, it is clear that edge computing offers intriguing possibilities for processing the data. Considering the advantages of edge computing, it is best in many factors.

1. Speed: One of the edge computing advantages includes its capability of increasing network performance by contacting dormancy. As edge computing devices practice the data locally, the information collected need not travel far. By processing data closer to the source and diminishing the physical distance, edge computing lessens discontinuation. Consequently, speed gets increased for end users.

2.Security: Edge computing offers some kind of security benefits too. It disburses processing, storage, and applications across a wide range of devices & data centers making it tough for any single interruption to take down the network. The dispersed nature of edge computing makes it easier to implement security obligations that can block off negotiated portions.

3.Scalability: Edge computing offers an affordable transmits to scalability. This acknowledges different companies to spread their computing scope through computing devices and edge data centers. Similar to this, edge computing offers flexibility, authenticity, and some great advantages.

After discussing all edge computing, the next obvious query will be about cloud computing. Cloud computing – we hear the term almost daily. But really, just what cloud computing is all about? Let’s have a brief overview of it.

What cloud computing is?

Cloud computing refers to both the applications delivered as services over the internet and the hardware and systems software in the data centers that provide those services. The data center hardware & software is what we call a cloud. In simple words, cloud computing definition stands for a model to make a convenient, on-demand network-based access to a shared pool of configurable computing resources that can rapidly be operated and released with minimal management effort or service provider interactions.

The idea of cloud computing is evolved from parallel processing, distributed computing, and grid computing. In the simple definition of cloud computing, the virtualization technology makes it possible to have each node appear as a separate physical machine allowing a user to load custom software and operating system on each node and configure custom rules for each node. All the concepts of cloud computing are somehow similar but work with a different scenario. Ever wondered why it is called cloud computing? This is because data and applications exist on a “cloud” of web servers. Simply, it is sharing and use of applications and resources of a network environment to get work done without any concern about ownership and management of the network’s resources & applications.

Why Should We Use Mobile Cloud Computing

Benefits of cloud computing

The major advantages of cloud computing are related to its easy accessing applications through the medium of the internet. One of its examples is Amazon Web Services (AWS) and we all have heard about it. Let’s discuss some of the cloud computing benefits in detail.

1.Economic approach: Cloud computing pools all of the computing resources that can be distributed to applications as needed – optimizing the use of the sum of computing resources and delivering better efficiency and utilization of the entire shared infrastructure.

 2.Flexibility & Verbosity: One of the great cloud computing advantages is that you can get automatic failover between hardware platforms & disaster recovery services to bring up your server set in a separate data center should your primary data center experience a disruption.

3.Deploy projects faster: As servers can be brought up & destroyed in a matter of minutes, the time to deploy a new application drops dramatically with cloud computing. Rather than installing and networking a new hardware server, the new server can be dialed up and imagined through a self-control console.

Edge computing vs Cloud computing – which is better?  

While comparing edge and cloud computing, cloud computing has some imperfections, one of which is increased quiescence in the processing of information. If we talk about the speedy and pliable solution, edge computing is the best choice.  

How to identify which is accurate?

For choosing the right option, the main thing to consider is data processing. Cloud computing systems perform all the calculations in the cloud using imposing centralized servers in today’s world. Consequently, low-level end devices are used for collecting data resulting in low-level processing. On the other side, in the case of edge computing, moving of processes like computing, data storage & networking from centralized data center takes place.  Cloud computing is not the right choice for latency-biased and computation exhaustive applications.

Final Verdict: The major problems which are caused by cloud computing but solved by edge computing are – increased dormancy & wasted resources of distributed data centers, cloudlets and mobile edge nodes which is situated at the edge of the network. Edge computing has applications in smart homes/cities, smart transportation, drones & remotely operated vehicles.

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