Computers which are used in organizations for normal task, may have wastage of resources like processing power, memory (mainly primary memory). If computers are used as a single unit, even then some amount of resources are unutilized. To use these wasted resources distributed computing proves to be beneficial. The existing distributed systems can perform only homogeneous tasks efficiently and for performing these tasks, manual intervention is essential. In distributed systems tasks are executed at lowest priority. The proposed system can execute heterogeneous tasks and set priority to tasks. Therefore reduction in waiting time of tasks in queue is achieved. In the proposed system, batch processing is used so that without manual intervention tasks are executed. It also ranks all computers according to the configuration and status. Proposed system use SAC algorithm and Local Queue algorithm for distributing input files and load balancing respectively. Using all these features and algorithms, proposed system may utilize maximum idle resources, which increase execution speed and performance exponentially.