Cloud storage is the use of the Internet to outsource the tasks that might be performed on a computer. It is mainly used for online storage and saving of data, which is uploaded to a network of remotely connected servers.
In the coming two years, 83 percent of the business enterprises will be Clouding their workload. Around enterprises will use Public Cloud platforms. Around 20 percent of offloads are predicted for Private Cloud Platforms and 22 percent of enterprises will use Hybrid Cloud Platforms.
By the year 2025, around 80 billion mobile devices will be connected to the Internet that will generate around 180 trillion gigabytes of data! (Source: Forbes)
The storage spaces have started becoming congested due to the amount of data being generated and downloaded. The busy Internet has started to slow down the performance of Cloud software, making them slow in their response, in turn impacting the business performance.
Now imagine, the impracticality of even the best cloud storage services, by the time a billion more devices get connected and start looking for data storage spaces. This is particularly true when the data needs to respond in real-time to the end-user. Examples of this are medical applications used by patients, educative applications used by students, a car driver using Google Maps, etc.
Any delays in data provided in these situations could prove to be disastrous and result in a life and death situation.
With predictions like these, the provision of seamless and powerful storage services that are at the same time securely strategized has become one of the greatest challenges for companies providing these infrastructures.
Cloud computing cannot alone meet these demands for faster-responding data.
The future of Cloud Storage lies in moving the data and computing closer to the users. Known as Edge Computing, which literally means moving the cloud drives to the edge of the network instead of in faraway cloud space. Edge Computing works on the premise of delivering the data to a computing device nearer to the user, becoming a mini data center, resulting in a response in real-time.
Storage of data on Edge platforms will reduce the costs, as businesses will pay only for the data that is downloaded and analyzed and not for the entire data. This will also address the privacy and security concerns in cases of transfer of data, which is personal like a person s location, or health data.
Edge computing also has an advantage of alternativity of devices i.e. if one device accidentally fails, other associated devices will remain functional.
However, even as data analysis and storage is moved to the Edge, Cloud computing will continue to play a major role in case of massive data transfers. The future is in creating the best cohesive practices that use the best of both technologies that will help in better management and analysis of data and increasing the functionality of IoT.
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