K
Kathleen Martin
Guest
Increased speed and reduced latency are the top reasons that make the combination of 5G and edge computing a big hit today.
So far, fewer than one in five enterprises have fully embraced edge computing – but the future of computing clearly is moving toward the edge, connected with 5G technology.
That’s the word from GoodFirms, which reports that 17% of 390 enterprises surveyed have made significant moves toward edge computing. There is clear movement in this direction — edge computing is transforming existing computing architectures and network traffic involving collaboration artificial intelligence, communication technologies, deep learning, big data, and 5G. “Edge computing, with its decentralized computing framework, brings computing closer to end users/devices so that businesses requiring real-time data do not suffer latency issues,” the study’s authors report.
Top factors for adopting edge and 5G include switching to a different computing regime for fast responses (72%), cost-effectiveness (69%), data privacy (49%), and reliability (32%).
Cloud computing – a highly leveraged approach – has issues with latency, especially as data grows. A total of 44% of participants believe that cloud computing is impractical with high data volumes. With the exponential increase in the use of IoT devices, data volumes are increasing further, making cloud computing impractical. Edge computing is more reliable in such situations to handle huge chunks of data.
The key challenges that organizations can encounter even after adopting edge computing include data management complexities (74%), network security risks (62%0, and scaling complexities (58%). Other challenges include maintenance issues, speed bottlenecks, limitations on bandwidths, high volume data accumulation at the edge centers, connectivity issues, utilizing edge computing investment, life cycle management issues, and identifying all use cases for organizations.
The high volume of data accumulation at the edge also poses challenges. About one-third of respondents, 31%, expressed concerns about the management of the high volume of data accumulation at edge centers. While the edge infrastructure can help reduce data volumes at the cloud, there are chances that data gets accumulated at the Edge nodes due to limitations of hardware and software.
Continue reading: https://www.rtinsights.com/one-in-five-are-ready-for-5g-and-edge-computing-more-to-come/
So far, fewer than one in five enterprises have fully embraced edge computing – but the future of computing clearly is moving toward the edge, connected with 5G technology.
That’s the word from GoodFirms, which reports that 17% of 390 enterprises surveyed have made significant moves toward edge computing. There is clear movement in this direction — edge computing is transforming existing computing architectures and network traffic involving collaboration artificial intelligence, communication technologies, deep learning, big data, and 5G. “Edge computing, with its decentralized computing framework, brings computing closer to end users/devices so that businesses requiring real-time data do not suffer latency issues,” the study’s authors report.
Top factors for adopting edge and 5G include switching to a different computing regime for fast responses (72%), cost-effectiveness (69%), data privacy (49%), and reliability (32%).
Cloud computing – a highly leveraged approach – has issues with latency, especially as data grows. A total of 44% of participants believe that cloud computing is impractical with high data volumes. With the exponential increase in the use of IoT devices, data volumes are increasing further, making cloud computing impractical. Edge computing is more reliable in such situations to handle huge chunks of data.
The key challenges that organizations can encounter even after adopting edge computing include data management complexities (74%), network security risks (62%0, and scaling complexities (58%). Other challenges include maintenance issues, speed bottlenecks, limitations on bandwidths, high volume data accumulation at the edge centers, connectivity issues, utilizing edge computing investment, life cycle management issues, and identifying all use cases for organizations.
The high volume of data accumulation at the edge also poses challenges. About one-third of respondents, 31%, expressed concerns about the management of the high volume of data accumulation at edge centers. While the edge infrastructure can help reduce data volumes at the cloud, there are chances that data gets accumulated at the Edge nodes due to limitations of hardware and software.
Continue reading: https://www.rtinsights.com/one-in-five-are-ready-for-5g-and-edge-computing-more-to-come/
