Year: 2015
Type: conference-paper
Abstract: To solve the benefit-driven task scheduling problem in clouding computing, a benefit-driven task scheduling algorithm based on genetic algorithm is proposed.Under the precondition of meeting the QoS constraints, the proposed algorithm takes computation overhead, service profit and delay compensation into account.And the mathematical model of the benefit-driven task scheduling problem is introduced.Meanwhile, genetic algorithm is used to solve the he benefit-driven task scheduling problem.Simulation demonstrates that compared with the Min-Min algorithm and QoS Min-Min algorithm, the proposed algorithm can significantly reduce the scheduling completion time, balance the load and improve the profit per unit computing cost.
Author: Jie Zhao
Institution: Mudanjiang Normal University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2326517508