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Exploring the differences between edge and cloud computing

Edge and cloud computing add massive value in resource-intensive tasks that use artificial intelligence (AI) and machine learning (ML) and will continue to see greater applications as the 5G network expands.

However, it is essential to know the difference between the two technologies to make the right decision. Edge computing benefits the customer by bringing the data storage closer to the source, thus reducing latency and increasing security. Cloud computing stores the data significantly far away in large and hyper-scalable data centres that host several hundred racks and servers.

This article explores the critical differences between edge and cloud computing, including advantages and limitations.


Key similarities and differences between edge and cloud computing

Edge computing brings the data closer to applications such as security systems, connected cars, industry and manufacturing, online gaming, telecommunications, etc. A global management consulting company predicts that 75% of enterprise data processing will use edge computing by 2025. Here is a comparison of edge computing vs cloud computing –


Speed and agility

  • Edge computing – It brings the computing closer to the data source, thus increasing the responsiveness and throughput of the applications. If designed well, edge computing platforms can easily outperform cloud computing. They are ideal for applications that require instant response at scale while keeping the operations safe and efficient. Examples include augmented reality (AR) and autonomous vehicles.
  • Cloud computing – It brings a vast volume of computing power that the organisation can self-access and deploy in minutes. However, since the servers are kept at a far and remote location, the speed of data access is comparatively slower. Cloud computing gives access to unlimited storage and high computing power for agile

innovation and the creation of new applications. They can test new ideas and experiment with the applications easily.


Scalability

  • Edge computing – Different edge computing devices have a different performance level and energy requirements. The system works in a highly dynamic environment and requires a reliable infrastructure and robust connections for scaling. Some latency in node-to-node communication can slow down the scaling process.
  • Cloud computing – This is one of the key benefits of cloud computing. You can scale storage, network, and processing capabilities with just a subscription plan. Scaling has no downtime or service disruption.

Performance

  • Edge computing – Since the servers are near the end user, the system processes requests in milliseconds by using analytical tools and AI. For relevant use cases, edge computing benefits productivity and performance through high operational efficiency.
  • Cloud computing – The servers are in a remote location, because of which you do not need to stack them in racks near your site. Your IT team can focus on other high-value tasks. While the speed may not be in milliseconds, it still improves efficiency, minimises latency, and achieves economies of scale.

Security

Learn More about Edge Computing, Cloud Computing and Digital Interactive Solutions

Learn More about Edge Computing, Cloud Computing and Digital Interactive Solutions

  • Edge computing – Edge computing transmits the data directly to the nodes without communicating with the cloud. This requires an encryption mechanism that works locally on edge computing devices. However, edge computing enhances privacy by restricting the need to transmit data to the cloud.
  • Cloud computing – Organisations implement centralised and cutting-edge cybersecurity protocols with advanced technologies, policies, and controls to protect the data. They safeguard infrastructure from potential threats and educate the users regularly about security best practices.

Reliability

  • Edge computing – An efficient edge computing design, users continue to access the service efficiently even if they lose a few nodes. Edge computing partner will install additional infrastructure for recovery failure and business continuity. Edge computing benefits include automated alerts in case of a component failure and the ability to work without the internet.
  • Cloud computing – Due to its decentralised nature, cloud computing is more reliable than edge computing. Data backup and robust disaster recovery ensure business continuity. However, it needs a strong and reliable internet connection. In the

absence of the internet or irregular service, the operations can halt, impacting the business continuity.


Cost efficiency

  • Edge computing – Edge computing does not require the traditional bulky servers onsite. But it still needs edge servers and sensors onsite. This may require some CapEx, though much less than conventional server-client architectures.
  • Cloud computing – This architecture shifts the focus from CapEx to OpEx. Rather than investing in in-house data centres, businesses pay a subscription fee and change the plan as they scale up. It also eliminates the added expense of purchasing, maintaining, upgrading, and safeguarding the hardware.

How can Infosys BPM help?

Digital interactive services at Infosys BPM leverage cloud and edge computing benefits for process-centric and tool-agnostic approaches to content management, multi-channel marketing, creative design, and digital analytics.

Read more about digital interactive solutions at Infosys BPM.


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