A Research And Design Of Nodes Failure Model Based Data Center Airflow Distribution

In a traditional data center, energy consumption of computer room air conditioning systems occupies a large portion of the total energy consumption. Due to unreasonable operation, the cooling energy consumption of computer room air conditioning systems tend to increase, and unreasonable operation lead to unnecessary waste of energy. On the other hand, after the data center’s nodes failure, reliability of nodes failure can’t be guaranteed. If we fail to take effective measures, it will occur serious losses.Combining these issues, we build a nodes failure model which is based on data center’s airflow distribution, we also propose a task scheduling algorithm about the nodes failure model. In the nodes failure model, the paper mainly proves cross-interference coefficient matrix, constraints based on load balance and introduces intelligent algorithm based on the nodes failure model.We simulate the nodes failure model in Matlab environment. According to experimental results, we verify the applicability of the nodes failure model, Experimental results show that increasing the failed nodes will lead to increasing energy consumption of data center which is associated with failure nodes in racks location.