5 Considerations when contemplating Edge Computing

Today, we are generating, storing, transferring and consuming vast volumes of data on a daily basis. The introduction of 5G is expected to increase this exponentially, with higher data transfer rates and improved network abilities that make it possible to create and consume even more. As the use of connected devices spreads, and data traffic increases, we will see greater challenges with respect to how to handle and consume data. Storage, in particular, is a big issue for many businesses - and one that is going to require a shift in perspective, in particular towards cloud and edge computing. But what considerations are there if edge computing is on the cards?

  1. Data management. There are numerous questions that arise around data management at the edge and in the cloud. For example, what specific data needs to be saved, analysed and processed within edge infrastructure and how long does the data need to be kept for? Key to note will be data retention policies, regulation and use case.
  2. Practical considerations. What kind of physical location is going to be appropriate for storing the data? Data storage performance can be influenced by simple factors, such as humidity, altitude, temperature and vibration so it's important to ensure that the environment is the right one.
  3. Data monitoring. The question of monitoring is a crucial one, particularly as the volume of data increases. The most important considerations here include working out who should be able to access the data that is stored at the edge and what the conditions of access should be. Data health will also be another key component to consider in terms of data monitoring i.e. what level of quality is the data? As the amount of data being generated increases thanks to rises in the use of connected devices etc, it will become essential to have robust infrastructure in place to monitor it.
  4. The necessity of a high endurance storage solution. This may be required if, for example, equipment being used to generate data is located in an inconvenient position, such as a video camera that is positioned high up on a building. Workload is another crucial factor to consider here, for example whether you are dealing with a read-intensive application (e.g. maps from a car infotainment system) or a write-intensive one (such as video surveillance).
  5. Protecting essential data. Security is also likely to be an issue, particularly given the increasing complexity of data and the innovative solutions arising to use and storage. It's currently the case the data is usually secured on the host side (CPU) but there can be issues with unauthorised access. It may be that data also needs to be protected using encryption at rest on whatever device is being used for storage.

Edge computing is a necessary response to the changes that are taking place in the way that we generate and use data. Alongside on-premise, endpoints, cloud or a hybrid it is one of multiple environments in which data exists and represents an opportunity to ensure that it is better secured, monitored and managed.

If you would like to book an appointment to discuss the transition to edge computing then talk to us today to discuss your requirements.

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