Since the outbreak of COVID-19 pandemic, many municipal and national governments have imposed lockdown policies, forcing their people to stay home. Companies with branches worldwide have already instructed their employees to work from home for a certain period of time. However, the cure of the pandemic is still under experiment without a definite release date, the challenges regarding working from in terms of connectivity, bandwidth and security to ensure business continuity will remain.

Retail chains all over the world have been investigating network transformation in order to improve customer experience and reduce overhead. Retail services today have evolved to be more and more diversified, including virtual fitting room in fast fashion trends, online demo video of suites in hotels and real estates, as well as real-time inventory checks for clerks and customers. All these newly innovated services need a better bandwidth, more cost-effective WAN architecture to meet customer satisfaction.

AI-based Edge Computing technology is finding its way into various application scenarios, and one of which is intelligent traffic management. AI-optimized video analytics algorithms enable traffic flow analysis, vehicle counting, license plate recognition and driver/pedestrian behavior prediction, generating tremendous but useful volume of real-time data, at the edge, that can be relayed to the traffic control center for proactive response with almost no latency, not only preventing accidents but also saving lives.

In recent years, utility plant owners have been investigating opportunities and strategies to bring intelligence into substations to enable smart grid paradigm. In a typical digitalized substation, it is obvious to see robust embedded computing gateways with high-performance compute, networking and storage have been integrated to enable control and monitoring of substations. Intelligent HMIs (human-machine interfaces) terminals and protocol-authenticating servers are used to enable communications. All these have contributed to the increasing complexity and footprint of SCADA management in substations.

The introduction of smart grid has revolutionized the conventional approaches of electrical grids in supplying and distributing electricity. Smart grid offers enhanced data communication and automation for power grid so that data regarding power generation and distribution can be collected and analyzed in a near real-time synchronization. Besides the technological benefits, smart grid offers the visibility of all the integrated subsystems and provides predictive information to the control center. The convergence helps critical infrastructure owner to save operating and capital expense.

 

With advancements in technology, the role of school buses has become more and more comprehensive, from merely transporting children to security incorporated vehicles. In fact, location-based tracking, attendance assurance and real-time video surveillance of both interior and exterior of the vehicle are among the most discussed requirements for school bus safety, due to risks regarding behavioral concerns of drivers and students while in transit. With the safety concerns in mind, educational organizations are adopting security technologies in their school buses to provide visibility of drivers and children, as well as the GPS/RFID tracking system to keep track of bus/student footprints.

In order to accommodate the escalating growth of data on the Internet, the networking infrastructure has undergone a revolutionizing transformation to redefine network compute and topology, in order to enhance bandwidth and reduce latency, while keeping operational expense in check. Meanwhile, the trends of IoT/IIoT, 5G, edge cloud and MEC (multi-access edge computing) have driven enterprises to migrate applications from the cloud to the edge. However, some edge computing devices are still based on traditional hardware will one day be inadequate to enable or maintain multi-Tbps QoE (quality of experience) and QoS (quality of service), and eventually additional expenses will arise. Thus, enterprises shall seek long-run, programmable instead of fixed interconnect technologies to enable intelligent and high-performance network traffic for MEC infrastructure.