Nowadays cyber threats have evolved to be highly sophisticated and often bypassed traditional malware detection through advanced masking and hiding of malicious intent. In order to mitigate such vulnerability, there is an increasing number of enterprises adopting sandboxing approach.

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As enterprises have relied more and more on cloud applications, network outages can be a great deal of pain in both financial and reputation aspects. In fact, due to the increasing uses of mobile devices and wireless connections, communication service providers (CSPs) have been seeking network changes to upgrade their infrastructures in order to meet emerging demands and assure quality of service (QoS).

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Machine vision systems use cameras, computers and software algorithms to carry out inspection tasks that require precise and repetitive verification and testing in high speed, and one of the most prevalent machine vision applications has to be flaw detection.

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Carrier-grade NAT, also known as LSN (Large-Scale NAT), is an advanced network development to address the current bottlenecks of IPv4 and facilitates the communication between IPv4 and IPv6 protocols, and thus accelerates the transition to the latter. With the explosion of Internet consumption from mobile devices, the 32-bit address space of IPv4 is virtually insufficient to accommodate the rapidly rising demands for IP addresses. Thus, CGN has been developed to extend the use of 32-bit address space of IPv4 through address and protocol translation.

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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 virtualiza-tion layers of an infrastructure into a single system architecture.

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