PIASA: A power and interference aware resource management strategy for heterogeneous workloads in cloud data centers
A scheduling strategy for heterogeneous workloads with specific SLAs requirements. Deviations detection of applications performance, with noisy data samples. Multiple types of SLAs, according to mixed/heterogeneous applications. Support for mitigation of performance degradation caused by resource contention. Auto-scaling of resources in order to satisfy SLAs and cope with peak time demands.
sla performance interference energy efficiency cpu-intensive load i/o intensive load qos