Cloud RAN Architecture for 5G

| October 26, 2018

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Mobile broadband is approaching a point where cellular infrastructure –originally designed for mobile telephony– is a viable substitute for fixed broadband in many markets. At the same time, the mass adoption of smartphones and other connected devices is increasing the need for speed application coverage, lower latency and greater capacity in mobile broadband networks.

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A silicon valley security start-up founded by hi-tech entrepreneur Mr. Kevin P. Reddy, providing integrated governance, risk, and compliance (GRC) and proactive internal threat management solutions based on AI neural networks, hybrid data analytics and mining, risk-resilient heuristics and genetic algorithms, machine learning, anomalous behavioral pattern recognition, intent data normalization, and predictive scenario foresight visualization.

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NVIDIA Providing Free GPU Virtualization Software Access for Remote Workers

Article | March 24, 2020

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8 reasons to consider hyperconverged infrastructure for your data center

Article | March 1, 2020

Demand for on-premises data center equipment is shrinking as organizations move workloads to the cloud. But on-prem is far from dead, and one segment that’s thriving is hyperconverged infrastructure (HCI). HCI is a form of scale-out, software-integrated infrastructure that applies a modular approach to compute, network and storage capacity. Rather than silos with specialized hardware, HCI leverages distributed, horizontal blocks of commodity hardware and delivers a single-pane dashboard for reporting and management. Form factors vary: Enterprises can choose to deploy hardware-agnostic hyperconvergence software from vendors such as Nutanix and VMware, or an integrated HCI appliance from vendors such as HP Enterprise, Dell, Cisco, and Lenovo.

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The Denodo Platform and Cloud Marketplaces – A Winning Combination

Article | April 7, 2020

Cloud marketplaces are not new and provide users with a smart, low-touch, easy way to get started with data management in the cloud. In today’s market buyers want better solutions to meet their personalized needs, and this has made public cloud marketplaces even more popular for doing business. Public cloud marketplaces leverage a cloud-based commerce model that enables businesses to evaluate a range of different options to solve a multitude of issues. As seen from the Denodo Global Cloud Survey 2020, cloud computing adoption continues to explode. According to Gartner, the global cloud market will reach $411 billion by 2020. Public cloud marketplaces are quickly becoming one of the preferred channels that companies use to research, purchase, and manage their apps. Here’s a closer look at how to develop a marketplace strategy to improve your tech delivery and help your team increase productivity. Opportunity awaits at the doorsteps of cloud users. In this blog, we will explore possibilities and options for working with marketplaces.

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Essential things to know about container networking

Article | March 8, 2020

Containers have emerged over the past several years to provide an efficient method of storing and delivering applications reliably across different computing environments. By containerizing an application platform and its dependencies, differences in OS distributions and underlying infrastructures are abstracted away. Networking has emerged as a critical element within the container ecosystem, providing connectivity between containers running on the same host as well as on different hosts, says Michael Letourneau, an IT architect at Liberty Mutual Insurance. "Putting an application into a container automatically drives the need for network connectivity for that container," says Letourneau, whose primary focus is on building and operating Liberty Mutual's container platform.

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Spotlight

sec|zone

A silicon valley security start-up founded by hi-tech entrepreneur Mr. Kevin P. Reddy, providing integrated governance, risk, and compliance (GRC) and proactive internal threat management solutions based on AI neural networks, hybrid data analytics and mining, risk-resilient heuristics and genetic algorithms, machine learning, anomalous behavioral pattern recognition, intent data normalization, and predictive scenario foresight visualization.

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