Balancing the computational load of various simultaneous tasks on heterogeneous architectures is one of the basic prerequisites for efficient use of such systems. Load -imbalance is naturally present if the calculation load is disseminated Non consistently across different tasks or if execution time for similar sort of tasks changes from one class of handling component to the next. Load -imbalance may anyway likewise emerge from causes that are outside the ability to control of the client, as case operating system jitter, over-membership of the accessible specialists, impedance and asset conflict by simultaneous tasks, and so on composing a fair equal application requires cautious investigation of the issue and a decent downplaying of different hardware architectures of the computing nodes.