An effective management of scheduling-tasks by using MPP and MAP in smart grid Online publication date: Fri, 02-Sep-2022
by Basetty Mallikarjuna
International Journal of Power and Energy Conversion (IJPEC), Vol. 13, No. 1, 2022
Abstract: In smart grid environment, the integrated service of IoT-based cloud infrastructure has various applications to improve the QoS parameters to achieve the service level agreement (SLA). Allocation of task at the end of the fog service provider (FSP) invites the scheduling queue and sets priority. The task is allocated into the fog nodes when a task arrives into the scheduling queue. Markovian arrival process (MAP) and Markovian Poisson process (MPP) with partial buffer shares mechanism, computes with probabilities and classify them based on the priority. The arriving of tasks on scheduling queue is through MAP, and the allocation of tasks to the fog nodes is through MPP. The method of Markovian self-similar networks is followed for non-priority tasks, and it is also allocated to the fog nodes. The tasks arrive at the scheduling queue is based on priority. It also calculates the probability of task allocated to the fog nodes using MPP for effective schedule management.
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