In the Area Management Security Use Case of IOWN GF, it is required to dramatically improve the energy efficiency of the computing infrastructure for processing data in real-time image analysis of video streams from massive security cameras. As a solution to this problem, IOWN GF provides a DCI (Data-Centric Infrastructure) Functional Architecture document [1] that proposes the concept of “heterogeneous and disaggregated computing” in which a logical service node (LSN) is formed by combining various computing devices flexibly and optimally according to the workload. Also, the Reference Implementation Model (RIM) for the Area Management Security Use Case document [2] shows how to utilize in DCI in the same use case. This PoC report describes, as an example of DCI implementation, a demonstration system employing an LSN configuration that combines multiple types of accelerators, such as GPU and FPGA, and shows the effects of applying the system to part of the CSP Area Management Security use cases.