Abstract
The unexpected and dynamic load surges from web-based services and applications often overwhelm service providers and lower computation resource utilization. Cloud infrastructure mitigates the problem by developing technologies based on the concept of virtualization and elasticity. But to insure the service quality and resource utilization, we still require a more intelligent automation control system to manage the system. In this thesis, we develop an automated mechanism for hash-based storage, and propose scaling policies and load-balancing algorithms to satisfy the SLA agreement and minimize system hot-spot. We conduct experiments to evaluate our implementation on a in-house cluster, and demonstrate the effectiveness and performance of our solutions.