Edge Computing: A Comprehensive Guide In 2 Points

Introduction

Edge computing one of the latest technologies being introduced in the market but is it as complex as the name sounds? Let us find out the details of this from a non-technical perspective and try and understand all the concepts related to it.

1. Meaning and Important Terms
2. Advantages and Drawbacks

1. Meaning and Important Terms

Edge computing in a simple language is a process in which all the data from the internet supported devices is collected and before sending all the data to a larger warehouse some of the important or crucial information is analyzed in a nearby source. 

As per the definition of Edge computing, it is the processing of analyzing the data at the edge of the corner of the network before the data is sent to the larger processing center. Few examples which benefit from it are hospital where patient monitoring is done by a third party cloud with this technology earlier and faster processing is possible. Another important area that benefits from edge computing is traffic Management. 

There are a few terms which one needs to understand for getting a better understanding of Edge computing:

A) Edge Cloud 

is formed which in simpler terms is a smaller warehouse located near the end or edge of the network so that the required data processing can be easily done.

B) Edge Cloud Computing

it is the process or distributed paradigm wherein the smaller data warehouses are created at the source where the data is needed on a priority basis. So in the case of a vast network, the areas requiring immediate data can be easily provided.

C) Edge Network

It is a network that helps to get that data decentralized to the edge cloud, this network uses special branch routers and edge routers so that the movement of the data from the internal and the external sources becomes easier.

D) Edge Computing Application

in non-technical terms, it is the application that helps us to get fast and effective data analysis for areas in need and also stores all the voluminous data in the big warehouse. This process helps to provide effective results in some of the industries using this technology are hospitals, Industrial machines, Smart Homes, etc.

E) Edge Security

It is an important aspect wherein the data which moves from the source to collection house and back with the analysis, that data needs to be protected and should move through security lines.

F) Edge Device

In a simpler term, it is the device located at the entry point of the edge cloud where the data gets entered and analyzed further.

G) Edge technology

in simpler terms, it is the technologies, techniques which are used by the IT experts so as to fulfill the requirements of the final users.

H) Network Edge

it is the point where the network of the data provider connects to the third party, as simple as a WAN cable can also be said as an example of Network Edge.

As explained earlier Edge computing is the Process wherein the data gets collected at a nearby source of the internet-based devices so that the data can be easily processed and there is no delay in receiving the analyses of the data from the central data collection warehouse which could be at a faraway distance from the user. This process thus helps in creating an easier way of processing the edge work and creates a good platform for its performance. The platform for processing that edge cloud is more on the lines of cloud computing and hence the technology uses the same baseline for usage and data processing.

I) Mobile Edge Computing

One of the most important types of Edge computing is Mobile Edge computing, in simpler terms, it is defined as the collection of all the data from the mobile services of the users and provide a smaller, closer and effective data warehouse which can help the customers to get real-time analysis. This computing uses the It severs on the cellular network of the service providers so as to get the required data.

For mobile edge computing to be effective Edge Data plays a very important role, Edge data is a data system which is used over and above the mobile networks and it works three times faster than the original mobile networks.

J) Cloud Computing

In nontechnical words, it is the service and delivery of computing to users which helps them to attain their data from any authentic source and can use their data at any point from anywhere around the world. Using the same concept an Edge Cloud computing has been formed or the experts are trying to use that to avoid only delays and provide cost-effective data services to its users all around the world.

2. Advantages and Drawbacks

Advantages

• Effectiveness: With cloud servers, the data analysis is delayed and loses on its effective portion, with the new technology the real-time data analysis and data saving is easily met.

• Easy to Maintain: since the servers are available nearby their maintenance can be easily done.

• Cheaper Cooling: With the big server rooms and data warehouses cooling has to be done on a continuous basis so that the machines can easily work, with the smaller data warehouses and closer by the cooling expenses can be drastically low.

• Climatic supportive: with bigger warehouses, the climatic changes get affected by the heat and radiations this can be changed into effective means with small centers for data collection.

Drawbacks

• High usage of power: with a bigger data collection center high power is required for it to function smoothly but with the smaller data collection centers providing that amount of power and to a remote location can become a challenging aspect.
• Legal drawbacks: when a data center is created to collect data from the customer it has to have a backing of a lot of legal formalities and a procedure, creating all the same for the smaller centers is a difficult task on its own self.

• Only Data Analyses: with the big data center they not only analyze the data but also store them for further usage, these small data centers are only for data analyses not for storage hence increasing the cost for the setup In totality.

• Security Challenges: with the huge amount of data available security needs to be very particular and strong but with a lot of smaller centers, the security aspect cannot be easily guaranteed.

Conclusion

Edge computing in today’s world is one of the most effective methods of processing a vast amount of data. Also, it is a cost-effective post establishment of the entire process and faster. For industries that prevail on huge data, this process acts as a boon for them. 

If you are looking for an extensive course in Cloud Computing, then the 5.5-month online Postgraduate Certificate Program In Cloud Computing offered by Jigsaw Academy can be of help. This program helps interested learners become complete Cloud professionals.