![]() For most applications, delays in latency aren’t significantly disruptive. Major players such as Amazon, Google, and Microsoft typically maintain their own data centers, whereas SaaS companies such as Dropbox and Salesforce often rely on data centers shared by multiple service providers, known as colocation or multitenant data centers.Ī user’s physical proximity to a data center often has a direct impact on how quickly that user’s tools and apps can send and receive information, a factor known as latency. The vast, warehouse-sized facilities can house tens of thousands of individual servers, and it is these servers that store and process much of the data users rely on every day, from online streaming services to collaborative document editing tools. As of early 2021, there were nearly 1,500 major data centers located across the United States. While “the cloud” conjures up imagery of a vast, decentralized network upon which much of the world’s data resides, physical data centers comprise much of the cloud’s actual architecture. Another example is running full-scale applications that are accessed through a web or mobile browser. This is just one of many cloud computing use cases. Her information is no longer confined to the capacity of the internal hard drive on her smartphone or desktop. She can then retrieve her smartphone data via another internet-enabled device, such as her desktop computer, by logging into her account and connecting to the cloud. As a result, cloud computing - the process by which many of these smart devices connect to the internet to operate - has become an increasingly dominant trend.Ĭloud computing enables companies to store and process data (among other computing tasks) outside of their own physical hardware and across a network of remote servers - popularly known as the “cloud.”įor example, a person may choose to back up her smartphone using Apple’s iCloud. The global IoT market is expected to exceed $5.4T by 2035. CLOUD COMPUTING ENABLES A CONNECTED WORLDįrom wearables to connected kitchen appliances, internet-connected devices are everywhere. Cloud computing enables a connected worldĬonclusion A changing computing landscapeīefore we can understand edge computing, we must take a look at how its predecessor - cloud computing - has paved the way for IoT devices worldwide.In this explainer, we dive more into what edge computing is, the benefits associated with the technology, and its applications across a wide range of industries. While Amazon Web Services (AWS) continues to lead in the public cloud landscape, it remains to be seen who will emerge as the leader in this nascent edge computing space. ![]() Some of the biggest players in tech - including Amazon, Microsoft, and Google - are exploring edge computing, potentially giving rise to the next big computing race. But how does it work? What Is Edge Computing?Įdge computing enables connected devices to process data closer to where it is created - or the “edge.” This can be either within the device itself (i.e., sensors), or close to the device, and provides an alternative to sending data to a centralized cloud for processing. Now, edge computing has the potential to be as disruptive to how we share information as the cloud was to the client/server model.Įdge computing technology promises faster processing at potentially lower costs right at the source of the data and has the power to transform virtually every industry and economic sector. The cloud was the third major shift, a development pioneered by Amazon’s AWS. The mainframes of the 1950s and ’60s were the first, followed by the shift to the client/server model of the ’70s and ’80s, a model that lasted well into the early 2000s. With so many more devices connected to the internet and generating data, cloud computing might not be able to handle it all - or lower latency enough to be useful in critical decision-making moments.Įdge computing represents the fourth major paradigm shift in modern computing. By the year 2024, an estimated 149 zettabytes - the equivalent of more than 149T gigabytes -will be created globally every single day. While the bulk of data processing for connected devices across industries now happens in the cloud, sending data back and forth across a central server can take seconds too long - and also requires a ton of expensive infrastructure.
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