Going back and forth: efficient multideployment and multisnapshotting on clouds

Bogdan Nicolae, J. Bresnahan, K. Keahey, Gabriel Antoniu
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引用次数: 68

Abstract

Infrastructure as a Service (IaaS) cloud computing has revolutionized the way we think of acquiring resources by introducing a simple change: allowing users to lease computational resources from the cloud provider's datacenter for a short time by deploying virtual machines (VMs) on these resources. This new model raises new challenges in the design and development of IaaS middleware. One of those challenges is the need to deploy a large number (hundreds or even thousands) of VM instances simultaneously. Once the VM instances are deployed, another challenge is to simultaneously take a snapshot of many images and transfer them to persistent storage to support management tasks, such as suspend-resume and migration. With datacenters growing rapidly and configurations becoming heterogeneous, it is important to enable efficient concurrent deployment and snapshotting that are at the same time hypervisor independent and ensure a maximum compatibility with different configurations. This paper addresses these challenges by proposing a virtual file system specifically optimized for virtual machine image storage. It is based on a lazy transfer scheme coupled with object versioning that handles snapshotting transparently in a hypervisor-independent fashion, ensuring high portability for different configurations. Large-scale experiments on hundreds of nodes demonstrate excellent performance results: speedup for concurrent VM deployments ranges from a factor of 2 up to 25, with a reduction in bandwidth utilization of as much as 90%.
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来回:在云上高效的多部署和多快照
基础设施即服务(IaaS)云计算通过引入一个简单的改变彻底改变了我们获取资源的方式:允许用户通过在这些资源上部署虚拟机(vm),从云计算提供商的数据中心租用计算资源一段时间。这种新模型对IaaS中间件的设计和开发提出了新的挑战。其中一个挑战是需要同时部署大量(数百甚至数千)VM实例。一旦部署了VM实例,另一个挑战是同时对许多映像进行快照,并将它们传输到持久存储,以支持管理任务,例如挂起恢复和迁移。随着数据中心的快速增长和配置的异构化,重要的是启用高效的并发部署和快照,这些部署和快照同时独立于管理程序,并确保与不同配置的最大兼容性。本文通过提出一个专门针对虚拟机映像存储优化的虚拟文件系统来解决这些挑战。它基于延迟传输方案,并结合对象版本控制,以独立于管理程序的方式透明地处理快照,确保了不同配置的高可移植性。在数百个节点上进行的大规模实验证明了出色的性能结果:并发VM部署的加速范围从2到25倍,带宽利用率降低高达90%。
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