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Consider the following statements:
1. Edge computing is preferred over cloud computing in remote locations.
2. Edge computing has high latency than cloud computing.
3. Edge computing network reduces the amount of data that travels over the network
Which of the statements given above is/are correct?
1. Edge computing is preferred over cloud computing in remote locations.
2. Edge computing has high latency than cloud computing.
3. Edge computing network reduces the amount of data that travels over the network
Which of the statements given above is/are correct?
- a)1 and 2 only
- b)2 and 3 only
- c)3 only
- d)1 and 3 only
Correct answer is option 'D'. Can you explain this answer?
Verified Answer
Consider the following statements:1. Edge computing is preferred over ...
- Edge computing enables data to be analysed, processed and transferred at the edge of a network.
- Meaning, the data is analysed locally, closer to where it is stored, in real-time without latency.
- The basic difference between edge computing and cloud computing lies in where the data processing takes place. In simple terms, cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.
- Edge computing, on the other hand, manages the massive amounts of data generated by IoT devices by storing and processing data locally.
Benefits of edge computing:
- It offers high speed, reduced latency & better reliability which allows for quicker data processing and content delivery. Hence, statement 2 is not correct.
- It offers better security by distributing processing, storage, and applications across a wide range of devices and data centers, which makes it difficult for any single disruption to take down the network.
- Besides latency, edge computing is preferred over cloud computing in remote locations, where there is limited or no connectivity to a centralized location. These locations require local storage, similar to a mini data center, with edge computing providing the perfect solution for it. Hence, statement 1 is correct.
- Edge computing, on the other hand, essentially manages the massive amounts of data generated by IoT devices by storing and processing data locally. That data doesn‘t need to be sent over a network as soon as it processed; only important data is sent — therefore, an edge computing network reduces the amount of data that travels over the network. Hence, statement 3 is correct.
Most Upvoted Answer
Consider the following statements:1. Edge computing is preferred over ...
Statement 1: Edge computing is preferred over cloud computing in remote locations.
Edge computing refers to the practice of processing data near the source of generation, rather than sending it to a centralized cloud server for processing. This is particularly advantageous in remote locations where there may be limited or unreliable connectivity to the cloud.
In remote areas, the availability and reliability of internet connectivity may be a challenge. By using edge computing, data can be processed and analyzed locally, reducing the dependency on a stable internet connection. This ensures that critical operations can continue even in the absence of a reliable network.
Therefore, statement 1 is correct.
Statement 2: Edge computing has higher latency than cloud computing.
Latency refers to the delay between the transmission of data and its receipt. In edge computing, data is processed locally, which reduces the need for data to travel long distances to reach a centralized cloud server. As a result, edge computing typically has lower latency compared to cloud computing.
In cloud computing, data needs to be transmitted over the network to reach the cloud servers, which can introduce additional delays. On the other hand, edge computing enables real-time or near real-time processing as data is processed locally, resulting in lower latency.
Therefore, statement 2 is incorrect.
Statement 3: Edge computing reduces the amount of data that travels over the network.
Edge computing involves processing data locally, closer to the source of generation. By processing data at the edge, only relevant or summarized information needs to be transmitted to the cloud or other centralized servers. This reduces the amount of raw data that needs to be transferred over the network.
In many cases, edge computing involves filtering and preprocessing data locally, extracting only the necessary information before sending it to the cloud. This not only reduces the network traffic but also saves bandwidth and reduces the cost associated with transferring large volumes of data.
Therefore, statement 3 is correct.
In conclusion, both statements 1 and 3 are correct while statement 2 is incorrect.
Edge computing refers to the practice of processing data near the source of generation, rather than sending it to a centralized cloud server for processing. This is particularly advantageous in remote locations where there may be limited or unreliable connectivity to the cloud.
In remote areas, the availability and reliability of internet connectivity may be a challenge. By using edge computing, data can be processed and analyzed locally, reducing the dependency on a stable internet connection. This ensures that critical operations can continue even in the absence of a reliable network.
Therefore, statement 1 is correct.
Statement 2: Edge computing has higher latency than cloud computing.
Latency refers to the delay between the transmission of data and its receipt. In edge computing, data is processed locally, which reduces the need for data to travel long distances to reach a centralized cloud server. As a result, edge computing typically has lower latency compared to cloud computing.
In cloud computing, data needs to be transmitted over the network to reach the cloud servers, which can introduce additional delays. On the other hand, edge computing enables real-time or near real-time processing as data is processed locally, resulting in lower latency.
Therefore, statement 2 is incorrect.
Statement 3: Edge computing reduces the amount of data that travels over the network.
Edge computing involves processing data locally, closer to the source of generation. By processing data at the edge, only relevant or summarized information needs to be transmitted to the cloud or other centralized servers. This reduces the amount of raw data that needs to be transferred over the network.
In many cases, edge computing involves filtering and preprocessing data locally, extracting only the necessary information before sending it to the cloud. This not only reduces the network traffic but also saves bandwidth and reduces the cost associated with transferring large volumes of data.
Therefore, statement 3 is correct.
In conclusion, both statements 1 and 3 are correct while statement 2 is incorrect.
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