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Agnostic Cloud Software: How It Can Revolutionize Edge Computing
As data has become a more and more important commodity, businesses have had to evolve at break-neck speed to catch up with its demands. Bandwidth, data storage, and emerging technology are in constant demand and can run huge costs to a company. As a result, businesses are looking to cloud storage and innovative device intelligence to streamline their data management. 

Increasingly, this has meant that companies have turned to cloud-based technology. But even as this technology is emerging, others are competing to take its place.

Data

"Data is the lifeblood of the internet," says Dinah Robertson, an author at Research papers uk and Last minute writing. "There is a constant stream of data across the world from almost every corner, and all of it is competing to get through. Before the creation of cloud storage, processing power and bandwidth was clogged up with vast amounts of data streaming to and from specific locations".

As technology advanced, data become bulkier and more time consuming to transfer. Wireless technology did little to slow the needs of internet users as the world went online, and there's little sign of worldwide data transfer slowing down.

Cloud Computing

In response to the demand for storage space, Cloud computing emerged as a way of connecting devices in order to alleviate the burden of bandwidth and cost. Large clouds offer greater, almost unlimited storage and computing power available to businesses.

Following high profile news stories, public clouds are now under scrutiny in what happens to the data collected from consumers. Legislation has been put in place to ensure that data is secure and not open to abuse and exploitation.

However, enterprise clouds, those specific to a business or enterprise are under less scrutiny, and there is still a lot of grey area over ownership of the data that passes through each cloud. For those businesses that rely on data, this can present a hindrance to the free flow of information that can optimize a business. In the digital world, the speed of accurate information is everything.

Edge Technology

Conversely, there are those industries where some data functions are not required in a central server immediately. This has resulted in the development of devices that analyze and store data where they are most needed. As industry-specific technology develops, so too does the capacity for data collection.

"An example of edge technology might be a digitized coffee grinder in a cafe, which could analyze the weight of beans ground and store the data," says Thomas Spiers, a regular contributor to Draft beyond and Writinity. "This data can then be uploaded to a local server which can then automate ordering based on analysis of needs. Edge technology is highly individualized and dedicated to a specific task, avoiding taking up bandwidth and storage with little return."

However, the connectivity of such software can elude these devices, and it can be costly and time-consuming to ensure they are all talking to one another. For large companies with multiple locations, it can be difficult to debug such systems, and the more ‘nodes' or devices attached to a particular edge network, the harder it becomes to debug. Another major concern about edge technology is that the processing power to maintain security is not there, which can leave networks open to data breaches.

In addition, there are instances where such technology is detrimental, such as any task that requires an unpredictable amount of processing power. Connectivity through edge technology to wider information sources can also present an issue, especially if access to global data is required.

Agnostic Cloud Software

With companies concerned about being committed to a specific cloud provider and those utilizing edge technology with worries about security, some tech companies are starting to develop methods to combine cloud computing and edge technology. These companies are advocating a hybrid cloud technology, often known as ‘Agnostic Cloud Software' to minimize risk and cost of edge and cloud tech.

Utilizing edge virtualization engines, it allows users to run any kind of application to process their data. The virtual operating system is non-discriminatory and can integrate with any hardware or any cloud. For those who use it, it means that they can choose between clouds rather than commit to any single provider.

In addition, as the virtual OS is somewhat amorphous, it offers, as a byproduct, a greater ability to encrypt data. For those seeking to breach a virtual OS, it is made harder in that there appears to be no physical server to be cracked.

Ultimately, Agnostic cloud operating systems are unlikely to replace cloud or edge computing but offer an alternative route for data to travel without either costly bandwidth or limited security and maintenance.

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About the Author

Martina Sanchez specializes in content marketing and writes for Lucky Assignments and Gum Essays. As a passionate entrepreneur she also keeps a regular blog which touches on subjects such as digital marketing and SEO.

Published Monday, March 18, 2019 8:54 AM by David Marshall
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