title: Load balancing prediction method of cloud storage based on analytic hierarchy process and hybrid hierarchical genetic algorithm.
abstract: With the continuous expansion of the cloud computing platform scale and rapid growth of users and applications, how to efficiently use system resources to improve the overall performance of cloud computing has become a crucial issue. To address this issue, this paper proposes a method that uses an analytic hierarchy process group decision (AHPGD) to evaluate the load state of server nodes. Training was carried out by using a hybrid hierarchical genetic algorithm (HHGA) for optimizing a radial basis function neural network (RBFNN). The AHPGD makes the aggregative indicator of virtual machines in cloud, and become input parameters of predicted RBFNN. Also, this paper proposes a new dynamic load balancing scheduling algorithm combined with a weighted round-robin algorithm, which uses the predictive periodical load value of nodes based on AHPPGD and RBFNN optimized by HHGA, then calculates the corresponding weight values of nodes and makes constant updates. Meanwhile, it keeps the advantages and avoids the shortcomings of static weighted round-robin algorithm.
authors.affiliation: Software School, Xiamen University, Xiamen, China.
authors.forename: Xiuze
authors.initials: X
authors.lastname: Zhou
authors.affiliation: Software School, Xiamen University, Xiamen, China.
authors.forename: Fan
authors.identifier: 0000-0003-2530-859X
authors.initials: F
authors.lastname: Lin
authors.affiliation: Software School, Xiamen University, Xiamen, China.
authors.forename: Lvqing
authors.initials: L
authors.lastname: Yang
authors.affiliation: Xiamen Institute of Software Technology, Xiamen, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Nie
authors.affiliation: Software School, Xiamen University, Xiamen, China.
authors.forename: Qian
authors.initials: Q
authors.lastname: Tan
authors.affiliation: Software School, Xiamen University, Xiamen, China.
authors.forename: Wenhua
authors.initials: W
authors.lastname: Zeng
authors.affiliation: Xiamen Institute of Software Technology, Xiamen, China.
authors.forename: Nian
authors.initials: N
authors.lastname: Zhang
keywords: Analytic hierarchy process (AHP); Cloud storage; Group decision; HHGA (hybrid hierarchical genetic algorithm); Load balancing; Radial basis function neural network (RBFNN)