This view summarizes the multiple functional services that a typical application knits together in the cloud to deliver insights and actions based on data from the endpoint and edge devices in the periphery (Figure 1).įigure 1: The Microsoft Azure IoT reference architecture illustrates the multiple types of cloud services and resources an IIoT application typically requires to deliver useful insights and action from data generated by device networks in the periphery.
#Kepserverex vs thingworx microserver software
The Microsoft Azure IoT reference architecture offers a representative view of typical IIoT applications (and IoT applications in general) from the application software perspective. To application software developers, an enterprise-level IIoT architecture comprises a number of services whose coordinated activity ultimately delivers the functionality of the application. To the latter, a large-scale IIoT architecture is a vast assembly of sensors and actuators that interface with the physical processes which are the subject of the overall application. IIoT applications operate on complex architectures that look significantly different to application software developers than to sensor and actuator system developers. Beyond those more fundamental practices, data simulation can accelerate development of complex IIoT applications built on the sophisticated service platforms available from leading cloud providers. Besides aiding in load testing and auto-scaling, data simulation provides an important tool for verifying the integration of the many disparate services and resources needed to implement software as complex as an enterprise-level IIoT application. IIoT applications share these same requirements and more. In cloud service platforms, these tests provide a relatively simple method to verify auto-scaling of virtual machines and other cloud resources. These tests serve an important function in verifying robustness of static configurations. Developers have used system-level simulation methods for decades to stress test computing infrastructures and connectivity services. The use of simulated data to drive applications and systems development is of course nothing new. This article will show how the various IoT cloud platforms provide for data simulation and will introduce example gateways from Multi-Tech Systems Inc.
Using simulation methods to generate realistic data streams, developers can begin IIoT application development well before IoT network deployment, and even refine the definition of the IIoT sensor network itself. To prevent such situations and help developers more quickly ascertain the benefits of IIoT deployment, ready access to data for deployment simulation is required. Large-scale Industrial Internet of Things (IIoT) applications present multiple challenges that can stall deployments and leave companies questioning the return on investment in the many resources required for implementation. Part 2 discusses options for rapid prototyping of sensor systems for generating data. Here, Part 1, describes the use of simulation methods for generating those data streams.
#Kepserverex vs thingworx microserver series
This two-part series explores alternatives for providing early data streams needed to accelerate IIoT application development. Industrial Internet of Things (IIoT) application development faces a similar bottleneck, waiting for the sensor data required for applications like industrial predictive maintenance systems or facility automation systems based on machine learning methods. Editor’s Note: Embedded application development projects are often delayed as developers wait for availability of hardware implementations of new devices.
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