The Problems in Edge Computing Networks and How You Can Enhance Performance

The Problems in Edge Computing Networks and How You Can Enhance Performance

As digital technology continues to advance, there has been an increase in virtualization brought about by cloud computing. It has seen the advent of the hybrid cloud: this involves the distribution of applications in both the data center and the cloud for added safety and security. It’s thanks to the hybrid cloud that many organizations have gained the agility they need to stay ahead in an increasingly competitive world.

However, the hybrid cloud has unique performance and management challenges. Luckily, new ideas and concepts have emerged in recent years to address latency issues, database inefficiencies, and improve overall performance of the network.

Database Performance

New applications for data streaming are responsible for latency issues resulting from I/O through the network. The number of competing I/Os can slow down data bucket reads, log writes, and updates.

In traditional networks, SQL servers could manage the performance issues that arose from transactions and updates. Edge computing is predicted to grow by 46% in the next three years, however, and it has led to the proliferation of technologies such as IoT. What this means is that the amount of data that goes through these servers is of a greater volume than ever before. Worse yet, the fragmentation of these files can take up even more space, slowing down your computer.

The main culprit for SQL performance issues in Legacy computing is big data. Even though the server has in-built capabilities for caching transactions and log-writes, the server ends up taking up a significant portion of the memory.

One way to address the problem is by using a memory cap. For additional speed and functionality, you can then use applications such as Diskeeper, which can manage the cache performance and latency issues. The advantage is that the software has a wider scope of what it caches; then, it can do its job more effectively.

Edge Computing and Storage Efficiency

There are tiers of the Edge network that are continuously processing data from the peripheral sensors and devices. One of the most important features for these servers is the ability to accept large I/O requests with high levels of consistency. Also, other sections of the network may be set aside to analyze the data collected.

You can improve the network storage performance by using specialized software designed to fix high latency issues and SDD writes. Diskeeper from Condusiv can fix these storage issues and boost the performance of your applications since it’s a throughput booster. It works by making continuous writes on the server to prevent common fragmentation issues.

The Diskeeper application works in the background and is always monitoring computer resources. It uses idle processes to ensure the data on the SDD are sequential. The application can target latency issues, storage performance, or memory availability problems.

Security Challenges

In Edge Computing applications, security can quickly become an issue. It is often compromised by the devices in the edge layer of the network that is resource hungry. Resource allocation and poor network design are the main culprits that increase the risk of cyber-attacks in edge computing networks.

One way to boost security for networks is to migrate the function from the IoT devices to the edge layer. If the interface is not running efficiently, the sensors which use a web-server will be difficult to track. By improving aspects of its performance, such as storage and server efficiency, it is easier to follow logs and pinpoint risks.

Rely on Condusiv to Help Your IT Issues Today

Organizations can improve the architecture by using the latest applications by Condusiv. When you want better control over your latency issues, rely on us as your throughput booster today.


Leave a Reply