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Optimization Techniques for Memory Virtualization-based Resource Management

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dc.contributor.advisor Chiueh, Tzi-cker en_US
dc.contributor.author Chiang, Jui-Hao en_US
dc.contributor.other Department of Computer Science en_US
dc.date.accessioned 2013-05-22T17:34:19Z
dc.date.accessioned 2015-04-24T14:46:21Z
dc.date.available 2013-05-22T17:34:19Z
dc.date.available 2015-04-24T14:46:21Z
dc.date.issued 2012-12-01 en_US
dc.identifier Chiang_grad.sunysb_0771E_11147 en_US
dc.identifier.uri http://hdl.handle.net/1951/59612 en_US
dc.identifier.uri http://hdl.handle.net/11401/71184 en_US
dc.description 152 pg. en_US
dc.description.abstract Memory virtualization abstracts the physical memory resources in a virtualized server in such a way that offers many resource management advantages, such as consolidation, sharing, compression and migration. The main goal of this dissertation project is to develop optimization techniques to resource management schemes based on memory virtualization. Although migration of virtual machine (VM) memory state is a standard feature of most modern hypervisors, migration of physical machine memory state is largely non-existent. We applied the standard VM migration technique to building the first known physical machine state migration system for Linux servers, which significantly increases the system management flexibility for physical machine administration. Virtual machine introspection (VMI) allows the internal states of a VM to be analyzed. We exploited VMI to identify free memory pages, and leverage this knowledge to significantly improve the efficiency of memory de-duplication and memory state migration. To analyze undocumented data structures in different kernel versions, we developed a novel memory analysis procedure that programmatically takes advantage of the availability of guest kernel source code when it exists. To further increase memory utilization, we propose an adaptive memory compression scheme that makes better use of the physical memory resources of virtualized servers by accurately and efficiently tracking the working sets of individual VMs. Finally, cloning a VM involves copying of the VM's memory pages. To minimize the memory copying overhead when cloning a VM on the same physical machine, we propose a lazy memory state creation scheme that defers the copying of a cloned VM's memory pages and its memory mapping tables to the last possible moment. en_US
dc.description.sponsorship This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree. en_US
dc.format Monograph en_US
dc.format.medium Electronic Resource en_US
dc.language.iso en_US en_US
dc.publisher The Graduate School, Stony Brook University: Stony Brook, NY. en_US
dc.subject.lcsh Computer science en_US
dc.subject.other memory compression, memory deduplication, memory resource management, virtualization, virtual machine cloning, virtual machine migration en_US
dc.title Optimization Techniques for Memory Virtualization-based Resource Management en_US
dc.type Dissertation en_US
dc.mimetype Application/PDF en_US
dc.contributor.committeemember Gao, Jie en_US
dc.contributor.committeemember Johnson, Rob Teng, Ted en_US

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