An Adaptive Load Balancing Method For Cloud Computing Service Platform

In recent years, with the rapid development of mobile Internet,users of intelligentmobile phone, PDA, iPad terminal users have increased dramatically, with theexponential growth of the Internet is a task request connection, the traditional ITcluster technology has been difficult to meet the needs of new situation. Cloudcomputing technology is an important technology to improve the utilization rate ofserver resources, but also a new business model. Facing the Internet with web serviceaccess request, cloud computing technology can adjust the system resource clustersadaptively, and meet the access request load requirements. In addition, the loadbalancing technology can effectively schedule task request load pressure to smooththe cluster system, avoiding server overload caused by the collapse of cluster system.Virtualization technology and load balancing technology is the key technology ofcloud computing technology, the authors conducted in-depth study and Research onthese two technologies, the paper satisfy the large-scale concurrent networkapplication service demand, This paper mainly does the following work:(1) this paper introduces the application of the basic characteristics of cloudcomputing and virtualization technology in cloud computing, virtualizationtechnology as well as in large-scale cluster configuration technology research andpractice;(2) this paper combines the advantages of the virtual machine of Eucalyptustechnology and IP load balancing technology, architecture design of a large-scale webservice using cloud computing services platform;(3) this paper analysis of the LVS existing load balancing algorithm deficiencies,combined with cloud computing virtualization resources flexible characteristics, putsforward the cloud resource adjustment method of adaptive resource supply;(4) based on cloud resources supply adaptive adjustment, this paper realize acomprehensive minimum load least connections algorithm, the algorithm withadaptive resource adjustment request task scheduling requirements, achieves goodload balance.