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Sample code zero robotics 2015 Offline#

Sample code zero robotics 2015 Offline#

Fault tolerance - Applications should be able to gracefully go from online to offline state as networks partition and heal their connections.

Heterogeneity - Programming framework gives guidance on how computations are mapped to the computing elements.

Coordination - Programming language support for explicitly (control driven) or implicitly (data driven) orchestrating the role of computing elements.

Thread locking is not efficient in such situations.

Concurrency - Real-time communication between millions of devices and applications mean millions of concurrent connections.Scalability - Programming frameworks that support diverse programming patterns that are able to perform load-balancing dynamically.What are the features to consider when evaluating IoT programming frameworks?.The horizontal separation of concerns separates different aspects of a system. The vertical separation of concerns ( SOC) reduces app development complexity by separating platform-independent model ( PIM) and platform-specific model ( PSM). Model-driven development - Application development complexity is reduced by increasing the level of abstraction and by describing the system using different system views.Macro programming - Abstractions are provided to specify high-level communication.Focus is on collection, aggregation and sending of data to the base station. Database approach - Every node is considered part of a database and the developer can issue queries to sensor nodes.Interaction between devices is explicitly encoded. Node-Centric Programming - Every aspect is programmed by the developer like communication between nodes, collection and analysis of sensor data, issuing commands to actuator nodes.What are the approaches used in IoT application development?.Statistical computing and visualization can be done using languages like R or Julia. Cloud - With the nearly unlimited computing capability that's available, frameworks like Apache Hadoop and HiveQL can compute and process large IOT datasets.More languages can be run on these devices because of their increased computing power, including C, C++, Java, Python, and Node.js. Gateways - Gateways manage communication and do analysis of data from many devices through several different buses.The focus is to minimize instruction count, and maximize execution speed and resource management. A better processor and more computing power on the device enables one to use C, Python, Node.js, Java. For very small devices (higher constraints), Assembly and C are the languages of choice. Edge Devices - These are constrained-resource embedded systems.Popular languages for Edge, Gateway and Cloud. The following URLs in this article are outdated.