Network Computing

In the rapidly evolving landscape of network security, the integration of Artificial Intelligence (AI) has emerged as a game-changer. By employing advanced algorithms and machine learning, AI-powered network security has ushered in a new era of proactive security defense, enabling real-time threat detection, adaptive responses, and predictive analytics.

 

 

Network security is an ever-increasing in today’s environment. According to one recent cybersecurity study, as many as 90% of companies have faced increasing cyber-attacks during the global Covid-19 pandemic. This has resulted in an increased number of security breaches using a number of advanced cyber-attack techniques, including malware, ransomware, zero-day exploits, and persistent threats.

The HEVC encoder compresses a raw video feed at it source and is a much better alternative to the H.264 standard codec. When compared with H.264, HEVC’s advantage is obvious as it allows for as much as 50% lower bandwidth consumption.

The fact that the year of 2020 started off with a bang, so to speak, only accelerates the already rapidly on-going migration to the cloud. Haste in this case does make waste, however, and we are witnessing significant breakages in enterprise security architectures, with many singling out the increased use of public clouds as the leading cause of security compromise.

Thus far into 2020 it has not been business as usual as companies scrambled to cope with the COVID-19 pandemic and rushed to implement a feasible work-from-home model in order to ensure a productive and secure workforce. To securely connect teleworkers to the enterprise networks, businesses must integrate multiple security functions into a single appliance, one that delivers not only end-to-end visibility for potential threats with zero-touch deployments but also flexibility for implementing security measures on the fly and simplicity for effortless centralized management.

Hyperscalability enables seamless system resource management, provisioning and distribution by integrating networking and compute resources in a software-defined system. A healthy and robust system must be built on such hyperscalability in order to combine storage, compute, and virtualization layers of an infrastructure into a single system architecture.

With the fast-evolving pace of today’s networking landscape, organizations are seeking more economical and efficient ways to deliver their applications and services to their targets. Indeed, application delivery has drastically changed in its forms since the widespread of smart mobile devices. Therefore, organizations have to enhance the centralized management in their data centers in order to cope with the ever-rising in bandwidth demand without excessive expenses.

Telehealth has been on the momentum in the healthcare sector and the related technologies have attracted increased attentions. According to survey data from renowned health research institutions, there were nearly 7 million people who experienced telehealth technology in 2016, and the number is still on the rise. It is believed that telehealth can improve clinical benefits, particular for individuals with chronic conditions, disability or residence in remote areas.

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