{"id":132929,"date":"2021-05-26T10:26:23","date_gmt":"2021-05-26T16:26:23","guid":{"rendered":"https:\/\/communique.uccs.edu\/?p=132929"},"modified":"2022-01-12T15:56:25","modified_gmt":"2022-01-12T22:56:25","slug":"perera-envisions-the-future-of-edge-computing-faster-and-more-adaptable-than-ever-before","status":"publish","type":"post","link":"https:\/\/communique.uccs.edu\/?p=132929","title":{"rendered":"Perera envisions the future of edge computing: faster and more adaptable than ever before"},"content":{"rendered":"\n
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Darshika Perera is an assistant professor of electrical and computer engineering at UCCS.<\/figcaption><\/figure><\/div>\n\n\n\n

As humans \u2013 and our billions of devices \u2013 become increasingly dependent on digital systems, computers are running out of processing power to keep up.<\/p>\n\n\n\n

Fortunately, writes Darshika Perera, assistant professor of electrical and computer engineering, there is a solution: customized and reconfigurable architectures that can bring next-generation edge-computing platforms up to speed.<\/p>\n\n\n\n

Perera published the research in a feature story for the spring edition of the Institute of Electrical and Electronics Engineers Canadian Review. In it, she describes a key concern for those of us living in the Internet of Things era: as more systems process massive amounts of data \u201cin the cloud,\u201d the cloud is facing serious obstacles to keeping up. Poor response times, high power consumption and security issues are just a few of the challenges it faces when transmitting, processing and analyzing the enormous burden of global data.<\/p>\n\n\n\n

Perera\u2019s research, conducted with a team of ten graduate students in the Department of Electrical and Computer Engineering, highlights a twin path forward.<\/p>\n\n\n\n

First, Perera writes, data processing must move away from its reliance on traditional cloud infrastructures and towards a complementary solution: edge computing.<\/p>\n\n\n\n

Non-computer scientists can think of edge computing like a popular pizza restaurant opening new locations across town. A pizza that travels 20 miles from the restaurant will be cold by the time it reaches the customer. But a pizza cooked right down the street will arrive faster. And because the delivery car has to drive a shorter distance, it can return more quickly, reducing the strain on the restaurant’s kitchen and delivery service.<\/p>\n\n\n\n

Similarly, edge computing processes data nearer to its source \u2013 on phones, smart watches and personal computers \u2013 rather than farming the job out to the cloud. Perera writes that edge computing addresses nearly all of the challenges faced by cloud computing, from speed and bandwidth to security and privacy.<\/p>\n\n\n\n