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Consider the following statements regarding Edge computing.
1. It involves placing computational power closer to the user in the network.
2. It has high applicability in IoT-based applications, which require processing of the data in less time.
3. It is highly suitable for Big Data Analytics.
Which of the above statements is/are correct?
- a)1 only
- b)1, 2
- c)1, 3
- d)1, 2, 3
Correct answer is option 'B'. Can you explain this answer?
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Most Upvoted Answer
Consider the following statements regarding Edge computing.1. It invol...
Edge Computing
Edge computing is a distributed computing paradigm that involves placing computation and data storage closer to the location where it is needed, rather than relying on a centralized cloud computing infrastructure. It aims to reduce the latency and network bandwidth requirements by processing data closer to the edge of the network, where it is generated.
Applicability in IoT-based applications
The Internet of Things (IoT) is a network of physical devices, vehicles, home appliances, and other items embedded with sensors, software, and connectivity, which enables them to connect and exchange data. Edge computing has high applicability in IoT-based applications, as it allows processing of data in real-time and in less time. This is particularly important in applications such as autonomous vehicles, where decisions need to be made in real-time.
Suitability for Big Data Analytics
Edge computing is also highly suitable for Big Data Analytics, as it allows processing and analysis of large volumes of data closer to the edge of the network, where it is generated. This reduces the latency and network bandwidth requirements, and enables real-time decision-making. This is particularly useful in applications such as manufacturing, where real-time monitoring of production processes can improve efficiency and reduce downtime.
Conclusion
In conclusion, edge computing involves placing computation and data storage closer to the user in the network, and has high applicability in IoT-based applications and Big Data Analytics. It enables real-time processing and analysis of data, reduces latency and network bandwidth requirements, and enables real-time decision-making.
Edge computing is a distributed computing paradigm that involves placing computation and data storage closer to the location where it is needed, rather than relying on a centralized cloud computing infrastructure. It aims to reduce the latency and network bandwidth requirements by processing data closer to the edge of the network, where it is generated.
Applicability in IoT-based applications
The Internet of Things (IoT) is a network of physical devices, vehicles, home appliances, and other items embedded with sensors, software, and connectivity, which enables them to connect and exchange data. Edge computing has high applicability in IoT-based applications, as it allows processing of data in real-time and in less time. This is particularly important in applications such as autonomous vehicles, where decisions need to be made in real-time.
Suitability for Big Data Analytics
Edge computing is also highly suitable for Big Data Analytics, as it allows processing and analysis of large volumes of data closer to the edge of the network, where it is generated. This reduces the latency and network bandwidth requirements, and enables real-time decision-making. This is particularly useful in applications such as manufacturing, where real-time monitoring of production processes can improve efficiency and reduce downtime.
Conclusion
In conclusion, edge computing involves placing computation and data storage closer to the user in the network, and has high applicability in IoT-based applications and Big Data Analytics. It enables real-time processing and analysis of data, reduces latency and network bandwidth requirements, and enables real-time decision-making.
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Consider the following statements regarding Edge computing.1. It involves placing computational power closer to the user in the network.2. It has high applicability in IoT-based applications, which require processing of the data in less time.3. It is highly suitable for Big Data Analytics.Which of the above statements is/are correct?a)1 onlyb)1, 2c)1, 3d)1, 2, 3Correct answer is option 'B'. Can you explain this answer?
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Solutions for Consider the following statements regarding Edge computing.1. It involves placing computational power closer to the user in the network.2. It has high applicability in IoT-based applications, which require processing of the data in less time.3. It is highly suitable for Big Data Analytics.Which of the above statements is/are correct?a)1 onlyb)1, 2c)1, 3d)1, 2, 3Correct answer is option 'B'. Can you explain this answer? in English & in Hindi are available as part of our courses for UPSC.
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