Improving Network I/O Performance in Virtual Machines through Workload Profile Clustering

• Published in: 2016 VI Brazilian Symposium on Computing Systems Engineering (SBESC) pp. 32 - 39
• Main Authors: Zanchi Dionysio, Stephany, Nacamura, Luiz, Maziero, Carlos Alberto
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2016
• Subjects: coexisting schedulers; Hardware; I/O virtualization; performance study; Quality of service; Scheduling; Servers; Streaming media; Virtual machine monitors; Virtual machining

The unpredictability of virtual machines workload makes effective CPU resources allocation a hard assignment for the hypervisor. Even if a virtual machine is allocated with adequate CPU resources, the quality of service of those running both CPU and I/O intensive tasks (heterogeneous workload), may...