The Elasticity and Plasticity in Semi-Containerized Co-locating Cloud Workload
Qixiao Liu, Zhibin Yu · 2018
Cloud computing with large-scale datacenters provides great convenience and cost-efficiency for end users. However, the resource utilization of cloud datacenters is very low, which wastes a huge amount of infrastructure investment and energy to operate. To improve resource utilization, cloud providers usually co-locate workloads of different types on shared resources. However, resource sharing makes the quality of service (QoS) unguaranteed. In fact, improving resource utilization (IRU) and guaranteeing QoS at the same time in cloud has been a dilemma which we name an IRU-QoS curse. To tackle this issue, characterizing the workloads from real production cloud computing platforms is extremely important.