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Thursday, March 16 • 4:00pm - 5:30pm
Poster: A Policy-Based System for Dynamic Scaling of Virtual Machine Memory Reservations

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Server consolidation via virtualization has become a mainstay of cloud computing technologies. Virtualization enables cloud providers to more efficiently allocate and utilize physical computing resources by decoupling the virtual machines’ resource demands from the physical machine’s resources. Virtual machine performance and cloud provider cost efficiency both depend heavily on the resource allocation policies of the virtualization system. However, current policies for allocating memory are relatively static, constrained by the virtual machines’ initial configurations. As a result, system-wide memory utilization is often sub-optimal, leading to unnecessary paging and performance degradation. This research presents a system for dynamically allocating memory at runtime using six novel dynamic allocation policies. The system allows virtual machines to expand and contract according to their changing demands by uniquely integrating mechanisms such as memory ballooning, memory hotplug, and hypervisor paging. Furthermore, the system provides fairness by guaranteeing each virtual machine a minimum reservation, charging for rentals beyond this minimum, and enforcing timely reclamation of memory.


Thursday March 16, 2017 4:00pm - 5:30pm
Exhibit Hall BRC

Attendees (1)