There are relatively new approaches of Parallel Distributed Processing. Distributed cloud uses cloud computing technology from different geographic locations to interconnect data and applications served. Distributed, in the sense of information technology (IT), something is exchanged between various systems that may also be in different places. The amount of data and exhausting time to process and monitor the predicted outcomes effectively and with as little time as possible has been significantly increased.This paper proposed a system designed to help users with the lowest processing time interactively solve composite work. The two most popular technologies, Distributed Parallel Processing (DPP) and Cloud Computing (CC) rely on the clarity of solving the user's problem in this method. The proposed system has been built depending on different types of (Clients, Hash-codes, Servers, and server logical processors) with a cloud system (webserver). The client-side produces and sends the Hash-codes to the cloud-side. The web server distributes them among the chosen servers in charge of executing the cracking operation. When using light load (single hash-code) with multi-servers and multi-processors, it has been verified getting the lowest time consumed (i.e., Kernel, User, and Total time) proposed system offers better efficiency. Although it is shown that using heavy load (multi hash-codes) with multi-servers and multi-processors, the proposed system provides better performance from the point of view of the parallel processing technique. Because of this hash-codes cracking effects by two critical parameters (minimum cracking time and economical usage of machine-resources), these instances were taken into account by the proposed system.