Application of Fuzzy Control Theory in Resource Management of a Consolidated Server

A virtualized system incorporates multiple systems into a single physical computer as virtual domains. A lot of data centers and server systems have been organized using virtualization technology to merge several computer systems. On the shared system, resource manager is the key affecting the performance. However, the resource management in current systems does not provide accurate resource allocation, because it only utilizes information from virtual machines and disregards the state of running applications. The paper demonstrates the CPU resource controller taking the state of application as inputs to produce the minimum resource retaining application performance in acceptable level. In particular, it employs two-layered controller. The first layer controller makes resource request based on the relationship between the state and resource demand of each application, modeled by fuzzy control theory. This approach is efficient to represent resource allocation model since fuzzy control theory deals imprecise and uncertain problems. The second layer controller adjusts the requests to the system capacity and builds the layout of resource capacity based on the relative Quality of Service performances between applications. For the separation of resource, common resource controller imposes a hard limit on the amount of resource a given domain can consume. The controller allocates resource with most effective capacity configuration. Under certain specified conditions, the controller does not set the capacities and allows domains to use the free time if the resource is idle. This results in eliminating unused resources and achieves relative high resource usage. Finally, the resource controller is evaluated with a virtualized system, and its advantages over conventional resource allocation methods are shown.