Why Decentralized Cloud is the Future of Cloud Computing
Oct 23, 2019
At the dawn of the Internet era, the centralized cloud computing was the greatest tech break-through, but nowadays it has started to show its shortcomings. As cloud services rely on Internet, the issues interrupting their work can happen anytime, for any reason. Exactly like a configuration error on Google cloud happened earlier this year and affected such well-known brands like Vimeo, Shopify and others, disrupting their services for more than four hours.
Nowadays millions users around the world, empowered by the mobile Internet and social networks, produce huge amount of data. It makes a number of user devices constantly being connected to the cloud to save or access data, leading to increased usage of bandwidth and computing power.
Next year, IoT devices will outnumber the population of the world in several times by growing up to 50B. This new devices will be equipped with even more sensors, require more Internet bandwidth and produce many times more data.
The fast growth of connected devices and user-generated data are not the only catalysts that challenge the centralized cloud computing model. One more trend is the increased interest of enterprises in the big data, taking the advantage of the insights it provides to deliver better results.
With all these data challenges, it is clear that centralised cloud computing model will have to create ways to handle increasing volumes of data. With more than 175 zettabytes of data expected by 2025, data centers will be vital in data management. But building new data centers is neither reasonable nor cost effective: the more data we create, the more data centers will be needed.
What is the paradigm shift, which is able to transform cloud computing model from a challenge to an opportunity? What if to use already created infrastructure, including all the devices available in the world, including data centers? So, each device will be a server within the fully decentralized architecture. Then devices can communicate with each other directly and share resources to distribute cloud computing load, making it faster, more efficient, scalable and affordable.