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IoT Applications: Improving performance at the Edge

While the future with smart technologies look exciting, yet at the backdrop companies are working with an exhaustive state-of-the-art overview to improve the performance of these applications. At Qentelli, we talk to a lot of clients assessing their current edge computing initiatives and working together with them to improve edge applications performance. This blog talks in detail about engineering concepts to improve performance of your edge application–

1. Keeping up with new and advanced network systems– While IoT applications are quickly becoming new platforms for customer engagement and business revenues, it has also become that deploying IoT requires keeping up with the new and advanced network systems. The upcoming 5G network trend targets the network intelligence and orchestration solutions in 2020 with large-scale projects introduction. Companies not equipped with the 5G Network Intelligence and Orchestration solutions are deemed to release IoT applications with compromised performance.

2. Altering the infrastructure strategy– Not surprisingly, though, as IoT applications supercharges the next set of customer experience in the digital society, teams are under the spotlight to ensure they are backed with the high-performance computing, storage infrastructure, and real-time processing of data with the usage of IoT sensors and mobile devices. As a result, organizations need to move from traditional data centers to Cloud Computing paradigm for building smart and self-configuring IoT applications.  With the outpouring of connected devices cloud facilitates the communication between millions of devices with the cloud infrastructure. Technical experts are exploring a new paradigm of Cloud-of-Things to describe the fusion of cloud computing and IoT technologies.

As we talk, few teams are well underway about putting the most perfect infrastructure strategy for improving the IoT application performance. And there’s an outpouring of concern and skepticism regarding how they can imbue right infrastructure strategy, when applications frequently vary by their nature and can be difficult to find a perfect infrastructure strategy. We recommend two approaches for our clients for altering their infrastructure complimenting their IoT applications’ performance–

Ad hoc Cloud Computing- Enterprises have invested in building technical muscles for cloud programs aiming flexibility and scalability. Companies aimed at eventual migration of workloads to public clouds, re-architecting applications for cloud technologies, and even building cloud native application for future endeavors. Companies took advantage of public-cloud and private-cloud approaches by building hybrid-cloud configurations. These sophisticated approaches served the purpose of migrating or re-architecting old applications with fewer investments and changes in current IT architectures. Given the IoT applications scenario of high-availability and millions of devices connected across the globe, this approach will not suffice.

IoT applications generate a lot of data and cloud computing provides the medium for data to travel, storage, and processing. With the progress of IoT applications and in quest of improving their performance, organizations must build an ad hoc cloud strategy.Ad hoc cloud strategy considers every device, and a sensor connected to the applications as an individual cloud outperforming the traditional cloud computing resulting in super-fast computation capacity. This leads to the increased exploitation of various IoT devices and less computation time. Ad hoc cloud computing strategy is an early move for enterprises but holds immense potential for facilitating distribution of data in IoT platforms.

3. Data Optimization– Breakthrough in IoT application performance come from mastering data optimization and reducing data loss during transmission for processing. For example, real-time data must be processed at the edge instead of transmitting to the cloud. This helps in cancelling data noise. If needed to transfer the data to the cloud, data should be transferred in data packets rather than the continuous live stream of data.

4. Network Bandwidth Optimization–The Internet of Things–converging the physical and digital world, produces enormous data, thus, creating network utilization and optimization issues. Network Optimization in IoT platforms is sum up of input data, output data, and other constraints. Network optimization can be achieved using right optimization framework for addressing optimization problems. Another way is approaching optimization problem using the heuristic method with appropriate algorithms based on a number of devices involved, data ingested, and processing done of the edge node.

For example, a lot of IoT platforms are equipped with pre-trained models to process the data at the edge node. This reduces network usage by refraining data from traveling back and forth into the cloud or data centers improving the performance of the application.

IoT platforms should be designed and deployed with futuristic approach to improve and enhance the performance of the application, even if the solution scales as per the business need. Selecting right technologies is important to avoid expensive migration, performance issues at later stages.

We work to help clients to develop and implement IoT platforms for their existing business models and unlock the hidden business value. Much of that experience is reflected in PoC we developed for clients. Let’s get in touch to create a PoC for integrating IoT platform or improving performance of the existing one.