In this review, the integration of distiller unit for other thermal application e.g., agriculture, passive heating, biogas enhancement and extraction of essence from any paste have been presented. The design and performance of each system has been discussed in detail. I t is observed that after integration with difference thermal concept distiller unit provides a reasonable amount of distillate output and thus, becomes cost-effective.

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Distributed computing refers to the use of distributed systems to solve computational problems. A distributed computing system consists of multiple computers that communicate through a computer network. The computers that are in a distributed computing system can be physically close together and connected by a local network, or they can be geographically distant and connected by a wide area network. Distributed computing systems offer the benefits like scalability and redundancy. A task is any single module to be processed. If the number of tasks are more then the number of processors and every processor process the task in a particular time period for processing any particular task then we have to allocate each task to the single processor in such a way that the task should be completed in a optimal reliability manner and also there should not be overloading of task to any single processor. The number of processors and number of tasks are static in nature. The number of processors is denoted by n and the number of tasks is denoted by m. In general for all real world problem the number of tasks are greater then the number of processors i.e. m>n. The requirement is to complete all the tasks by allocating the task so that the results for reliability should be optimal in nature to increase the overall performance of distributed computing system.

Distributed Computing System (DCS) presents a platform consisting of multiple computing nodes connected in some fashion to which various modules of a task can be assigned. A node is any device connected to a computer network. Nodes can be computers or various other network applications. A task should be assigned to a processor whose capabilities are most appropriate for the execution of that task. In a DCS, a number of tasks are allocated to different processors in such a way that the overall performance in terms of time, cost should be minimized and reliability should be maximized. For a large set of tasks that is being allocated into a DCS, several allocation methods are possible. These allocations can have significant impact on quality of services such as time, cost or reliability. Execution time is the time in which a single instruction is executed. Execution cost can be termed as the amount of value of resource used. In DCS reliability is highly dependent on its network and failures of network have adverse impact on the system performance. In DCS the whole workload is divided into small and independent units, called tasks and it allocates onto the available processors. In this paper a simple algorithm for task allocation in terms of optimum time or optimum cost or optimum reliability is presented where the numbers of tasks are more then the number of processors.

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