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Edge computing technology is the processing,
analysis, and storage of data closer to the point of
generation in order to enable quick, almost real-
time analysis and response. Some businesses
have recently streamlined operations by
centralizing data storage and computation in the
cloud.
• It is perfect for low latency, where every millisecond
counts
• It is suitable for fast and real-time analysis.
• It can work without internet connectivity.
• By reducing latency.
• By reducing latency edge, computing improves
network performance.
LOWER COSTS
• Decrease required
bandwidth.
• Reduce data
storage
requirements.
LOW LATECY
• It eliminates the
round trip to the
cloud, thus
reducing latency
and offering real-
time
responsiveness.
SPEED
• It reduces the
physical distance
data must travel,
and the time
required for the
transfer.
It will enhance networks like 5G in the future. It
offers higher power and capacity. By picking up
speed, it is capturing the future. With reducing
manufacturing costs, better network and
bandwidth availability, or the requirement for
quick response time and low latency to make
computing power portable enough to place it at
the edge of the network where data is generated,
it is quickly becoming widespread. Its future is
rapidly growing day by day. There are many
chances to transform the world as processing
power increases, storage costs decrease, and
network access gets better.
Edge computing plays a pivotal role in the IoT ecosystem by addressing
the challenges associated with the massive amounts of data generated
by IoT devices.
• Real-time Data Processing
• Reduced Network Congestion
• Enhanced Security
• Improved Reliability
info@cerebruminfotech.com
www.cerebruminfotech.com
5858 Horton Street, Suite 101, Emeryville,
CA 94608
+1 (240) 241-6899
A Guide to Edge Computing Technology in 2023

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A Guide to Edge Computing Technology in 2023

  • 1.
  • 2. Edge computing technology is the processing, analysis, and storage of data closer to the point of generation in order to enable quick, almost real- time analysis and response. Some businesses have recently streamlined operations by centralizing data storage and computation in the cloud.
  • 3. • It is perfect for low latency, where every millisecond counts • It is suitable for fast and real-time analysis. • It can work without internet connectivity. • By reducing latency. • By reducing latency edge, computing improves network performance.
  • 4. LOWER COSTS • Decrease required bandwidth. • Reduce data storage requirements. LOW LATECY • It eliminates the round trip to the cloud, thus reducing latency and offering real- time responsiveness. SPEED • It reduces the physical distance data must travel, and the time required for the transfer.
  • 5.
  • 6. It will enhance networks like 5G in the future. It offers higher power and capacity. By picking up speed, it is capturing the future. With reducing manufacturing costs, better network and bandwidth availability, or the requirement for quick response time and low latency to make computing power portable enough to place it at the edge of the network where data is generated, it is quickly becoming widespread. Its future is rapidly growing day by day. There are many chances to transform the world as processing power increases, storage costs decrease, and network access gets better.
  • 7. Edge computing plays a pivotal role in the IoT ecosystem by addressing the challenges associated with the massive amounts of data generated by IoT devices. • Real-time Data Processing • Reduced Network Congestion • Enhanced Security • Improved Reliability
  • 8. info@cerebruminfotech.com www.cerebruminfotech.com 5858 Horton Street, Suite 101, Emeryville, CA 94608 +1 (240) 241-6899