Sometimes, the processing requirements of organizational applications may be more than what a regular computer configuration may offer. This can be addressed to an extent by increasing the processor capacity and other resource allocation. While this can improve the performance for a while, it restricts any future computational requirements, such as adding more powerful computational processors; it also involves an extra cost for producing such powerful systems. Also, there is a need to produce efficient algorithms and practices to produce the best results. A practical and economic substitute for these single high-power computers lies in establishing multiple low-power capacity processors that can work collectively and organize their processing capabilities. This means we'll set up parallel computers that would permit processing activities to be distributed...