摘要
Cloud computing infrastructures have intended to provide computing services to end-users through the internet in a pay-per-use model.The extensive deployment of the Cloud and continuous increment in the capacity and utilization of data centers(DC)leads to massive power consumption.This intensifying scale of DCs has made energy consumption a critical concern.This paper emphasizes the task scheduling algorithm by formulating the system model to minimize the makespan and energy consumption incurred in a data center.Also,an energy-aware task scheduling in the Blockchain-based data center was proposed to offer an optimal solution that minimizes makespan and energy consumption.The estab-lished model was analyzed with a target-time responsive precedence scheduling algorithm.The observations were analyzed and compared with the traditional scheduling algorithms.The outcomes exhibited that the developed solution incurs better performance with a response to resource utilization and decreasing energy consumption.The investigation revealed that the applied strategy considerably enhanced the effectiveness of the designed schedule.
