An Integrated Approach to Cloud Data Center Resource Management

The complexity of cloud data centers requires advanced resource management solutions that are capable to adapt to the changing customer's demands while providing continuous service and performance guarantees. The proposed Integrated Resource Management approach for energy-aware resource management provides the necessary elasticity on the physical machine level by considering a data center power consumption and a service-level agreement violation. The Integrated Resource Management approach is based on the data center state-space dynamic model, power consumption model, prediction model, SLA violation model, and capacity planning model method. The modeling process takes into consideration heterogenous environment, virtualized resource granularity, virtual machine live migration power consumption, virtual machines on/off state, and virtual machine deployment delay. The analysis and simulation, using Google cluster-usage traces, show that using Integrated Resource Management approach cloud service providers can achieve energy savings while minimizing SLA violations in terms of the number of overloaded physical machines and VM deployment delay.