Hadoop-Based Dynamic Load Balance Scheduling Algorithm of Logistics Inventory

摘要

Regarding the problems such as long response time, unbalanced job scheduling load and low implementation efficiency of traditional distributed logistics inventory system, this article proposed the Hadoop dynamic load balance scheduling algorithm based on heartbeat feedback. According to Hadoop scheduling model and working principle of cloud computing, it analyzed the map and reducer function role of system scheduling as well as heartbeat mechanism. It presented the calculation formulas for Task Tracker node sending the heartbeat information and for the load capacity of each node, and built Hadoop logistics inventory dynamic load balance scheduling algorithm based on heartbeat feedback. Through comparing the simulation experiments under two cloud computing environments of homogeneous cluster and heterogeneous cluster, it verified the validity of this algorithm.