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Energy efficiency and execution time are the major problems in high performance computing systems. In this work, a linear programming based resource allocation is proposed to minimise the time span and execution time of scheduling based on ETC matrix. A rounding algorithm has been proposed to find a better solution. To find out the energy level in each algorithm and reduce the energy level with Largest Processing Time-First (LPT). This scheme provides improved energy efficiency and minimum time span with shortest execution time.

Produktbeschreibung
Energy efficiency and execution time are the major problems in high performance computing systems. In this work, a linear programming based resource allocation is proposed to minimise the time span and execution time of scheduling based on ETC matrix. A rounding algorithm has been proposed to find a better solution. To find out the energy level in each algorithm and reduce the energy level with Largest Processing Time-First (LPT). This scheme provides improved energy efficiency and minimum time span with shortest execution time.
Autorenporträt
Manisha Rajoriya a obtenu sa licence en informatique et ingénierie (CSE) au R N Modi Engg. College Kota, Inde, en 2014. Elle a obtenu son master (CSE) en 2017 et son doctorat (High Performance Computing) en 2023 à l'Université technique du Rajasthan, à Kota, en Inde. Ses recherches portent principalement sur les réseaux définis par logiciel, les WSN, les SDWSN et l'IA.