Adaptive computing migration middleware in IoT (internet of things) system

Abstract

The invention relates to an adaptive computing migration middleware in an IoT (internet of things) system. The adaptive computing migration middleware comprises a creating module, a migration module, a calling module and a decision-making module, creating service provided by an Object Factory is called and supports local creating and remote creating of objects, migration service provided by the Object Factory is called and supports remote migration of the object and return operation of the object, a proxy object is called and transmits calling operation to calling service of the Object Factory, the calling service transmits the operation to a practical object and returns calling results, the middleware acquires a program execution sequence through an interceptor and acquires network environment parameters of IoT, fitness function values of a deployment scheme are computed by a decision-making algorithm to acquire an optimal deployment scheme, and finally, the migration module and the calling module implement deployment. A common IoT application supported by the middleware can realize adaptive computing migration and dynamic deployment.

Description

technical field [0001] The invention relates to an adaptive computing migration middleware in an IoT system. Background technique [0002] With the development of IoT and the popularization of IoT applications, the data transmission and computing capabilities of IoT applications have been challenged to a certain extent. Smart devices have problems in performance and energy consumption. At the same time, due to the characteristics of multi-node deployment of IoT applications, the same IoT In different environments, there are different deployment solutions. Therefore, the deployment of IoT applications cannot be determined, which makes the development and deployment of IoT applications difficult. Computational migration is one possible solution. However, with the increase of cloud, fog, and smart terminals, computing migration faces new challenges: that is, the dynamic deployment of IoT applications can be realized under certain constraints: because IoT applications are in th...

AI Technical Summary

Problems solved by technology

However, with the increase of cloud, fog, and smart terminals, computing migration faces new challenges: that is, the dynamic deployment of IoT applications can be realized under certain constraints: because IoT applications are in the same environment, different deployment schemes have different impacts on IoT applications. Efficiency plays a decisive role. How to formulate a suitable deployment plan according to the complexity of IoT applications and computing resources

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