A Novel Adaptive Distributed Load Balancing Strategy for Cluster

摘要

With the increasing users access to Internet services, many researchers employed cluster server to provide their Internet services and proposed all kinds of scheduling strategies to address the imbalance issues among real servers. However, most of them are based on TCP connections and pay little attention to the diversity of requests and real servers. Thus these strategies lead to serious imbalance for a heterogeneous cluster. In this paper, we propose a novel adaptive distributed load balancing strategy, called ADLB, to address this problem. Different from the existing solutions, it offers a least delay scheduling method, which implements adaptive scheduling strategy by the TCP-SYN packet delay mechanism and does not require any additional communication among real servers and front-end dispatcher participation. Experimental results show that ADLB can achieve better balance for heterogeneous cluster and provide good scalability.