Computing at the edge of the mobile network will frame your IoT-enabled customer experiences in the age of the customer. As products and services based on the internet of things (IoT) continue to thrive, so does the reliance on the underlying network infrastructures to drive business success. Most IoT assets will be connected via mobile infrastructure, and cloud services are central to many IoT initiatives to deliver real-time and context-based services.
However, data transmission costs and the latency limitations of mobile connectivity pose challenges to many of these IoT installations that rely on cloud computing. Mobile edge computing (MEC) is an important technology that enables businesses to deliver real-time and context-based mobile moments to users of IoT solutions, while managing the cost base for mobile infrastructure.
- Cloud and IoT solutions are increasingly intertwined and improve IoT experiences. IoT solutions gain functionality through cloud services, which in turn open access to third-party expertise and up-to-date information.
- Mobile connectivity can create challenges for cloud-enabled IoT environments. Latency affects user experiences, so poor mobile connectivity can limit cloud computing deployments in the IoT context.
- MEC provides real-time network and context information, including location. MEC gives application developers and business leaders access to cloud computing capabilities and a cloud service environment that’s closer to their actual users.
- MEC is an important network infrastructure component for blockchain. The continuous replication of “blocks” via devices on this distributed data center poses a tremendous technological challenge. MEC reveals one opportunity to address this challenge.
My latest report, Mobile Edge Computing Will Be Critical For Internet-Of-Things Success, helps CIOs exploit distributed cloud and MEC models. Let me know what you think.