IoT Traffic: Preparing Your Data Center
Internet of Things devices offer businesses exciting opportunities to invent new product markets and put a high-tech spin on everyday routines. According to Computer Weekly, the proliferation of IoT devices will first start causing complications for businesses and consumers by taxing server and network bandwidth to handle all the data moving between the device and the data center.
This puts a responsibility to support ever-increasing network hardware on the end-user side, while requiring the the business to carry enough power on the server side. If your data center processes information from IoT devices your business uses or if your business uses a data center to drive IoT devices for customers, your infrastructure needs to have sufficient power to handle peak access events with grace.
According to ZDNet, IoT devices are expected to generate 507.5 Zettabytes of data per year by 2019, which is an increase from 134.5 ZB in 2014. All that data means that the servers handling IoT devices are going to need to grow alongside the data demand. While your business may only use a handful of IoT devices today like a smart thermostat or IP cameras, that’s likely not going to remain the status quo. Gartner predicts that IoT vehicles will help drive up to 25 billion connected devices in the wild by 2020. That’s a 500 percent comparison from the nearly 5 billion IoT devices in use in 2015.
The range of new devices added to the enterprise will introduce new data center security concerns on top of the need for more processing power. These devices will also push local area network bandwidth, creating a situation that requires more bandwidth to handle the workload on multiple levels. IoT devices are poised to push data center traffic to levels 49 times higher than in early 2016 by 2019.
Testing the Limits
There are two practical ways to identify if your company’s data center has enough power to handle the workload for all synced IoT devices: confirming server utilization through analytics logs or through virtualization tests. Using analytics logs helps your business tell if the servers currently have enough power to handle the work, which can help your business estimate at which point additional devices will require more power. However, real world processing demands don’t always line up with on-paper estimates, so running stress and loading test simulations can give your business specific numbers to work with for deciding when to upgrade based on the IoT device install base count.
Upgrades and Efficient Coding
In addition to adding more power to the database servers to handle the ever-increasing IoT device data demands, writing more efficient code to accomplish the same tasks can help lower processing times and reduce server hardware dependencies. Businesses that create IoT devices often release patches for their products that may include code updates that get more done with less effort. Installing these updates potentially allows servers to support a larger number of devices with less resources.
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