中文摘要：

负载均衡问题是当前云计算研究的重要问题。由于云计算中的负载均衡存在效率低、准确性不高以及资源需求动态变化等问题，建立了云计算环境下的负载均衡模型，通过在发送者策略中引入混沌算法和在接收者策略中引入萤火虫算法，提高了目标节点的最优化选择以及转移任务量的准确性。仿真实验表明，改进后的资源负载算法能够有效地避免负载处理的不均衡，提高系统整体处理能力。

英文摘要：

Load-balancing is an important topic in the research on cloud computing.As the load-balancing in cloud computing is inefficient,with poor accuracy and dynamic changes in resource demand,this paper put forward a load-balancing model in the environment of cloud computing.It improved the optimal selection of target nodes and the accuracy of task load transferred by introducing the chaotic algorithm in the send policy and firefly algorithm in the recipient policy.The simulation experiment shows that the improved resource load algorithm can effectively avoid the imbalance in load processing and improve the overall processing capacity of the system.