Читать книгу Fog Computing - Группа авторов - Страница 58

There exist a large number of frameworks designed for supporting mobile UE from iFog. However, existing works rarely address the challenges in UE-fog nodes. The use cases described in the previous section indicate that systems which integrate UE-fog nodes require a dynamic program deployment mechanism. For example, in the advanced crowd sensing use case, which utilize UE-fog nodes to provide the interpreted context information derived from the collected sensory data, the UE-fog nodes need to provide the corresponding service that allows the clients to deploy the program code of the context reasoning algorithm on the UE-fog nodes. Explicitly, considering the UE-fog nodes have constraint resources, they are unable to support the common VM or containers engine-based service for the dynamic program deployment. Instead, developers generally would develop the standalone solutions which leave the interoperability as an unsolved problem in UE-fog. In order to address such an issue, developers may consider integrating an open standard–based service interface or to develop a specific mobile fog node description language based on the extension of existing cloud service-based standard, such as OASIS Topology and Orchestration Specification for Cloud Applications (TOSCA).