I am sure that I don’t have to tell you how the Internet of Things (IoT) is revolutionizing our world. Stop by any electronics retailer and you will find smart TVs, smart lights, smart refrigerators, and smart thermostats. Open up the brochure for a new car and you will find more space dedicated to intelligent sensors than horsepower. Tour a modern manufacturing plant and you will quickly discover that nearly every machine used in production has been equipped with an IP address. From the consumer to the enterprise, IoT is the driving force of innovation.
Of course, there is a dark side to this revolutionary technology: It’s not all that easy. As a consumer, it’s not a big deal to have one smart dryer that sends a text message when your clothes are dry. It’s also pretty simple to have your refrigerator email you a photo of its contents. In these cases, it’s just you and your machine.
However, what if you had a thousand dryers and ten thousand refrigerators. Let’s take it further. What if you were American Airlines and your fleet of airplanes had five hundred thousand different sensors reporting information every second. Now, imagine that some devices reported data using Bluetooth while others used Zigbee, WiMAX, LTE, WiFi, and NFC. Want to make it even more challenging? These different sensors report data reading using SOAP, REST, WebSockets, and a myriad of proprietary protocols. It quickly becomes an engineering nightmare to collect, store, and take the appropriate actions on this constant stream of data.
One Bite at a Time
Question. How do you eat an elephant? Answer. One bite at a time.
As with an elephant, the best way to conquer the IoT problem is to break it down into bite-sized pieces. Instead of trying to directly deal with all those different sensors and their unique forms of communication, have those sensors talk to gateways that understand multiple IoT dialects. Those gateways could then normalize the data before sending it off to a central cloud repository. Next, wrap the IoT cloud with web services that allow for a consistent and uniform way to access IoT data. Finally, use those web services to create a suite of applications for data visualization, event processing, analytics, etc.
Now, instead of being inundated with terabytes of data that may or may not be important, you only see what you need to see and only when you need to see it. You also have a scalable platform that allows you to add new sensors without having to constantly redesign and redeploy your business applications.
At Arrow Systems Integration (ASI), an Avaya A.I.Connect partner, we call this distributed architecture of sensors, gateways, and cloud services Arrow Connect™.
Arrow Connect is a software architecture that connects any device over any protocol to any cloud. Designed and developed by Arrow with security, scale, flexibility, device management, multi-tenancy, hierarchy, open APIs, and extensibility as its core principles, Arrow Connect is helping customers across multiple industries bring their products to market faster.
The Arrow Connect software development kit (SDK) helps enterprises leverage the full capabilities of any device while an extensible software gateway allows developers to add support for protocols and sensors not currently supported by Arrow Connect.
The Arrow Connect cloud platform enables secure provisioning and management of all its devices. It runs on multiple public cloud platforms and seamlessly integrates with Microsoft Azure, IBM Watson Bluemix/Softlayer, Amazon Web Services, and private data center solutions.
Breeze and Zang Workflows
While support for RESTful web services is essential to being an open and secure cloud solution, this comes with a price and that price is complexity. Despite being an open standard understood by most software developers, the fact that you must be a developer to use web services confines them to a very select group of people.
In our quest to find every possible way to simplify IoT, ASI has partnered with Avaya to add support for Arrow Connect IoT devices, sensors, and gateways into Avaya Breeze and the Zang Workflow Designer. With both of these platforms, access to IoT data and Arrow Connect services becomes as simple as drag and drop and non-developers can create powerful IoT solutions in a matter of minutes. Better still, this simplification does not come at the cost of accuracy, reliability, speed, security, or scalability. The visual tasks embedded in these workflow tools employ the same Arrow Connect web services a skilled software developer would use. The difference is that there is no need to learn Java, .Net, Python, or any other programming language.
With integrated workflow technology, you can quickly turn an idea on a whiteboard into a fully functional and easily deployable solution.
McKinsey recently said that “Any business that fails to invest heavily in the IoT in the next 10 years is unlikely to be able to remain competitive.” While these may seem like strong words, industry after industry has taken them to heart and the IoT revolution is everywhere. As I stated at the beginning of this article, IoT is becoming pervasive for both consumers and businesses.
The simplification, scalability, and security of IoT offered by Avaya and Arrow Systems Integration helps an enterprise to create the solutions it needs to enhance its business, grow its customer base, and stay competitive.
Andrew Prokop is the Director of Emerging Technologies at Arrow Systems Integration. Andrew is an active blogger and his widely-read blog, SIP Adventures, discusses every imaginable topic in the world of unified communications. Follow Andrew on Twitter at @ajprokop, and read his blog, SIP Adventures.