The next battleground in cloud computing: Data Services in the age of IoT

NetEase Technology News October 27, according to foreign http://www.aliyun.com/zixun/aggregation/31646.html "> media reports, sensors and networking equipment springing up and everywhere." This indirectly creates a problem that the data they produce must be stored or processed. The simple approach is, of course, local processing, but when it comes to more complex things, such as predictive analytics, visualizing data for mobile applications, and sharing data with other devices or applications, this is going to happen in the cloud. Currently, cloud providers have started their competition to gain the storage and processing business of such data.

At present, IoT applications like web and mobile applications are mostly run on Amazon's EC2 platform, but there is no guarantee that the status quo will remain unchanged. As part of a broader smart home program, Google has bought a number of smart home businesses, such as Nest and Dropcam. Gregg Daffy, co-founder and CEO of Dropcam, said last year that his company had "the largest upstream data flow service on the Internet", even bigger than YouTube. Assuming they eventually move to Google's cloud facility, Amazon's EC2 platform will be significantly less revenue.

However, the competition has become more intense over the past week, focusing not only on the price of computing and storage. Cloud providers must also demonstrate their ability to deal with the special needs of the Internet of things. Amazon's EC2 platform has a streaming service called Kinesis, which is no doubt designed for the internet of things. Google's new cloud data streaming service is also designed to handle the internet of things because it penetrates into the network and then analyzes it more deeply.

In addition, Microsoft, one of the three big cloud service providers, may actually have the most compelling Internet services. It offers a business called Azure Intelligent system Services, which it says not only allows users to collect, store, and process device data, but it also connects devices and services and even manages them.

It now looks like Amazon and Google will launch similar services. Improvements in simplicity and latency can cause all storage and management to be on the same platform, using the same tools, even in the same data center. Like many developing technologies, there may be good support for a single type of device or sensor, but IoT companies may start asking for more support as they begin to measure more data with new devices and sensors.