Abstract: In order to reduce the amount of data collected, the compressed sensing (CS), a new sampling method, is used for data acquisition and processing in Internet of Things (IoT). To overcome high computational complexity of CS algorithms, an acceleration scheme based on cloud platform and code migration is introduced in this paper. The scheme solved the automatically translated problem of parallelization code, the migration problem of algorithm, and the synchronization problems of local and cloud. It can use the resources from cloud environment to speed up algorithms by adding several interfaces and inserting some comments. In addition, this paper studies the method of cloud acceleration based on computing resources in Internet of Things, and put forwards an acceleration framework, in combination with multi-CPUs/multi-cores CPU and GPGPU parallelization, to speed up CS algorithm based on the cloud acceleration scheme.