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Automatic Memory Control of Multiple Virtual Machines on a Consolidated Server

  • School of Computer Science and Technology, Harbin Institute of Technology
  • Chung Hua University

Research output: Contribution to journalArticlepeer-review

Abstract

Through virtualization, multiple virtual machines (VMs) can coexist and operate on one physical machine. When virtual machines compete for memory, the performances of applications deteriorate, especially those of memory-intensive applications. In this study, we aim to optimize memory control techniques using a balloon driver for server consolidation. Our contribution is three-fold: (1) We design and implement an automatic control system for memory based on a Xen balloon driver. To avoid interference with VM monitor operation, our system works in user mode; therefore, the system is easily applied in practice. (2) We design an adaptive global-scheduling algorithm to regulate memory. This algorithm is based on a dynamic baseline, which can adjust memory allocation according to the memory used by the VMs. (3) We evaluate our optimized solution in a real environment with 10 VMs and well-known benchmarks ( DaCapo and Phoronix Test Suites). Experiments confirm that our system can improve the performance of memory-intensive and disk-intensive applications by up to 500 and 300 percent, respectively. This toolkit has been released for free download as a GNU General Public License v3 software.

Original languageEnglish
Pages (from-to)2-14
Number of pages13
JournalIEEE Transactions on Cloud Computing
Volume5
Issue number1
DOIs
StatePublished - 1 Jan 2017
Externally publishedYes

Keywords

  • Virtual machine
  • global-scheduling
  • memory control
  • server consolidation

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