Decentralized architecture of edge computing enables the other network devices to become resilient to a greater extent. Example applications include complex video analytics and IoT processing. Availability: Critical systems need to operate irrespective of connectivity. A platform approach has emerged to span various developer skill sets. Due to the necessity to provide real-time decision and avoid transmitting a large amount of sensor data, edge computing becomes a necessary technology to deliver city’s mission critical solutions such as traffic, flood, security and safety, and critical infrastructure monitoring. Many network and application partners are already working on migrating capabilities to container-based approaches, which can aid in addressing this challenge. This bringing of storage and computing nearer to the devices improves response time and lessens the bandwidth. Operating and governing cities has become a challenging mission due to many interrelated issues such as increasing operation cost from aging infrastructure, operational inefficiencies, and increasing expectations from a city’s citizens. These clouds also host and run the applications that are used to orchestrate and manage the different edge nodes. Embedding these devices into the city’s infrastructure and assets helps monitor infrastructure performance and provides insightful information about the behavior of these assets. In any complex environment, there are many challenges that occur and many ways to address them. When an item of interest is detected, it is sent to the local edge for further processing. Nevertheless, the security concerns Fog and Edge Computing bring in have not been fully considered and addressed so far, especially when considering the underlying technologies (e.g. In most of the cases, depending upon the response time and bandwidth available, the edge can be just a hop distance from the main edge device, collecting the data. Data sources vary from one another depending upon their functionalities and locations. Edge gateway The enormous emergence of IoT devices has pushed the bandwidth demands to the extreme levels, resulting in delay. Containers cannot be deployed on them for this reason. Mobile Edge Computing (MEC) is a recent addition to the edge computing paradigm that amalgamates the cloud computing capabilities with cellular communications. Device edge physical devices might not have the ability to leverage existing security standards or solutions due to their limited capabilities. The edge architecture is flexible, adding devices from different heterogeneous environments and providing services nearer to the devices. Device Edge The various edge devices capture data and communicate via IoT protocols, sending data to the edge gateways. It is inserted into a logical end point of a network (Internet or private network), as part of a larger cloud computing architecture. the edge computing provides only limited computational and storage resources with respect to the MCC. The origins of edge computing lie in content delivery networks that were created in the late 1990s to serve web and video content from edge servers that were deployed close to users. Cars with autonomous driving capabilities need the brakes applied immediately or they run the risk of crashing. MQTT is built on top of the TCP protocol and is suitable for devices with low resource availability, unreliable or low bandwidth links. A Vapor IO edge data center in Chicago. IoT devices are the basic building blocks of any smart city solution. As we discussed earlier, edge computing consists of three main nodes: Figure 4 represents an architecture overview of these details with the local edge broken out to represent the workloads. REST is a cacheable connection protocol that relies on the stateless client-server architecture. The devices which are employed at the edge should be capable of providing storage and computing services. The data sources in an edge computing environment can be applications capturing data, sensors, appliances, or any data capturing device.
2020 edge computing architecture