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Edge Computing

    Bring data processing closer to the data source where you need through edge computing

    Gartner defines Edge Computing as “a part of a Distributed Computing topology in which information processing is located close to the Edge – where things and people produce or consume that information.” At its basic level, Edge Computing brings computation and data storage closer to the devices where it’s being gathered, rather than relying on a central location that can be thousands of miles away. This is done so that data, especially real-time data, does not suffer latency issues that can affect an application’s performance.

    Companies too migrate from cloud to edge-based solution. The reason for this is the underlying cost, storage and bandwidth requirements present in cloud computing. Similarly, there are certain reasons why edge computing can be disadvantageous too. Many companies can be confused on how edge computing is differentiated from other data processing solutions and how this can be beneficial for their business. By analysing the advantages and disadvantages in edge computing, you can come to a better conclusion whether it will be best for your business.

    The main benefits of edge computing over cloud computing are:

    • Better data management.
    • Lower connectivity costs and better security practices.
    • Reliable, uninterrupted connection.
  • Advantages of Edge Computing

    • Reliability:
    • Edge computing handle’s reliability part very well. Since most at times the edge computing does not depend on internet connection and servers it offers an uninterruptible service. Users do not need to worry about network failures or slow internet connections.

    • Scalability:
    • In distributed computing systems you can add more machines as needed.

    • Flexibility:
    • It makes it easy to install, implement and debug new services.

    • Fast calculation speed:
    • A distributed computer system can have the computing power of multiple computers, making it faster than other systems.

    • Openness:
    • Since it is an open system, it can be accessed both locally and remotely.

    • High performance:
    • Compared to centralized computer network clusters, it can provide higher performance and better cost performance.

  • Disadvantages of Edge Computing

    • Troubleshooting:
    • Troubleshooting and diagnostics are more difficult due to distribution across multiple servers.

    • Less software support:
    • Less software support is a major drawback of distributed computer systems.

    • High network infrastructure costs:
    • Network basic setup issues, including transmission, high load, and loss of information.

    • Security issues:
    • The characteristics of open systems make data security and sharing risks in distributed computer systems.