Virtual Memory Streaming Technique for Virtual Machines (VMs) for Rapid Scaling and High Performance in Cloud Environment

TL;DR

This paper introduces Virtual Memory Streaming (VMS), a novel technique that enables rapid scaling, high performance, and efficient memory utilization in cloud-based virtual machines through advanced hypervisor memory management and live migration.

Contribution

The paper presents a new VMS approach combining multiple hypervisor techniques for fast VM scaling, live migration, and cloning, with a proof-of-concept implementation.

Findings

VMS enables instant VM scaling and cloning.

Reduces server memory requirements significantly.

Decreases virtual resource scaling time.

Abstract

This paper addresses the impact of Virtual Memory Streaming (VMS) technique in provisioning virtual machines (VMs) in cloud environment. VMS is a scaling virtualization technology that allows different virtual machines rapid scale, high performance, and increase hardware utilization. Traditional hypervisors do not support true no-downtime live migration, and its lack of memory oversubscription can hurt the economics of a private cloud deployment by limiting the number of VMs on each host. VMS brings together several advanced hypervisor memory management techniques including granular page sharing, dynamic memory footprint management, live migration, read caching, and a unique virtual machine cloning capability. An architecture model is described, together with a proof-of-concept implementation, that VMS dynamically scaling of virtualized infrastructure with true live migration and cloning of VMs. This paper argues that VMS for Cloud allows requiring significantly reduced server memory and reducing the time for virtualized resource scaling by instantly adding more virtual machines.