Thank you for Subscribing to Apac CIO Outlook Weekly Brief
Editor's Pick (1 - 4 of 8)
Can Edge Computing Stimulate Novel Applications for Enterprise Customers?
By Jake Saunders, VP Asia-Pacific, ABI Research
Implementing an IP-PBX through a MEC platform enables the seamless integration of in-building cellular networks into an enterprise’s WLAN network. Connected Vehicles Connected car systems can sense vehicle behavior and communications on the road and offer valuable notification and alerting services to increase safety and reduce traffic congestion. Connectivity can also enable new entertainment services and other value-added services like location finder and parking assistance. Deploying MEC in base stations or small cells along the road provides the required low latency. The MEC application directly receives the information from the vehicles and other road sensors, analyzes them, and transmits real-time messages to the vehicles while propagating the information to other neighboring MEC servers and the central cloud service for larger scale reporting. IoT Gateway Service Scenario Internet of Things (IoT) systems depend on a collection of connected devices and sensors that are served by a set of underlying networks including 3G and LTE and unlicensed technologies such as Wi-Fi, Bluetooth, ZigBee, RPMA, Sigfox, and LoRa. For various IoT scenarios, a MEC-enabled gateway is necessary to ensure that requirements for low latency responses are met by providing real-time aggregation and distribution services for the IoT devices locally. It can also provide analytics and decision logic based on analytic results. Analytics At the edge, a considerable quantity of data is collected about users, network conditions, local context, and consumer behavior. Transmitting all this data to the core may be counterproductive due to high latency and wasted bandwidth. Hence, there is a solid case for deploying MEC in such scenarios. Analytics may include various activities, including but not limited to event correlation, big data applications, and machine learning. Retail Customer Behavior Analysis Traditional high street stores are looking for any competitive advantage they can attain over online retailers. Edge analytics—encompassing sales data, images, coupons used, traffic patterns, and videos generated and analyzed—provides unprecedented insight into consumer behavior patterns. Healthcare The healthcare industry is changing with the rise of the digital era. Devices such as Fitbits, telehealth tools, and glucose monitors are reshaping the sector completely. The data stored on these devices can be used to update a patient’s digital medical records; however, the existing cloud infrastructure cannot manage the amount of data they produce. Edge computing connects these medical devices, providing doctors and physicians with reliable and up-to-date patient monitoring information during medical emergencies and routine follow ups alike. Summary Thoughts Mobile Edge Computing is still going through proof of concept (PoC) demonstrations and limited customer trials by mobile telcos. However, the business case rationales are starting to mature, and mobile operators such as Telefonica, Orange, AT&T, and Verizon are moving beyond these PoCs and trials. Huawei, Nokia, Samsung, and ZTE are members of the official ETSI MEC group and are developing relevant products. However, enterprise and MEC specialists such as SpiderCloud (Corning), Quortus, and Vasona Networks are also jockeying for positions in the MEC market. MEC can be deployed on 4G LTE architectures, but because MEC business models are relatively nascent it is likely MEC will develop alongside 5G. 5G will of course deliver additional enhancements for MEC, as it will further boost data throughput, reduce latency, and assure reliability.