Research of Resources Scheduling of Eucalyptus-based Website Cloud
基于Eucalyptus网站云的资源调度

Website cloud is a multi-tenant cloud deployment architecture. This thesis studies the resources scheduling policy of the Eucalyptus-based website cloud, and the HTTP request as f＇me-grained task for the greedy scheduling algorithm. It also discusses the model of weighted machine learning algorithms, that the system can take the initiative to perceive the request peak and load balancing. Experiments show that the ideal.