TAILIEUCHUNG - Difference Engine: Harnessing Memory Redundancy in Virtual Machines

Virtual machine monitors (VMMs) are a popular platform for Internet hosting centers and cloud-based compute services. By multiplexing hardware resources among virtual machines (VMs) running commodity operating systems, VMMs decrease both the capital outlay and management overhead of hosting centers. Appropriate placement and migration policies can take advantage of statistical multiplexing to effectively utilize available processors. However, main memory is not amenable to such multiplexing and is often the primary bottleneck in achieving higher degrees of consolidation. Previous efforts have shown that content-based page sharing provides modest decreases in the memory. | Difference Engine Harnessing Memory Redundancy in Virtual Machines Diwaker Gupta Sangmin Lee Michael Vrable Stefan Savage Alex C. Snoeren George Varghese Geoffrey M. Voelker and Amin Vahdat dgupta mvrable savage snoeren varghese voelker vahdat @ University of California San Diego Abstract Virtual machine monitors VMMs are a popular platform for Internet hosting centers and cloud-based compute services. By multiplexing hardware resources among virtual machines VMs running commodity operating systems VMMs decrease both the capital outlay and management overhead of hosting centers. Appropriate placement and migration policies can take advantage of statistical multiplexing to effectively utilize available processors. However main memory is not amenable to such multiplexing and is often the primary bottleneck in achieving higher degrees of consolidation. Previous efforts have shown that content-based page sharing provides modest decreases in the memory footprint of VMs running similar operating systems and applications. Our studies show that significant additional gains can be had by leveraging both sub-page level sharing through page patching and in-core memory compression. We build Difference Engine an extension to the Xen virtual machine monitor to support each of these in addition to standard copy-on-write full page sharing and demonstrate substantial savings not only between VMs running similar applications and operating systems up to 90 but even across VMs running disparate workloads up to 65 . In head-to-head memory-savings comparisons Difference Engine outperforms VMware ESX server by a factor of for homogeneous workloads and by a factor of for heterogeneous workloads. In all cases the performance overhead of Difference Engine is less than 7 . 1 Introduction Virtualization technology has improved dramatically over the past decade to become pervasive within the service-delivery industry. Virtual machines are particularly attractive for .

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