Free Factories: Unified Infrastructure for Data Intensive Web Services.

Alexander Wait Zaranek, Tom Clegg, Ward Vandewege, George M Church
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Abstract

We introduce the Free Factory, a platform for deploying data-intensive web services using small clusters of commodity hardware and free software. Independently administered virtual machines called Freegols give application developers the flexibility of a general purpose web server, along with access to distributed batch processing, cache and storage services. Each cluster exploits idle RAM and disk space for cache, and reserves disks in each node for high bandwidth storage. The batch processing service uses a variation of the MapReduce model. Virtualization allows every CPU in the cluster to participate in batch jobs. Each 48-node cluster can achieve 4-8 gigabytes per second of disk I/O. Our intent is to use multiple clusters to process hundreds of simultaneous requests on multi-hundred terabyte data sets. Currently, our applications achieve 1 gigabyte per second of I/O with 123 disks by scheduling batch jobs on two clusters, one of which is located in a remote data center.

免费工厂:数据密集型Web服务的统一基础设施。
我们介绍免费工厂,这是一个使用小型商品硬件和免费软件集群部署数据密集型web服务的平台。被称为Freegols的独立管理的虚拟机为应用程序开发人员提供了通用web服务器的灵活性,以及对分布式批处理、缓存和存储服务的访问。每个集群利用空闲的RAM和磁盘空间进行缓存,并在每个节点上预留磁盘用于高带宽存储。批处理服务使用MapReduce模型的一个变体。虚拟化允许集群中的每个CPU都参与批处理作业。每个48个节点的集群可以实现每秒4- 8gb的磁盘I/O。我们的目的是使用多个集群在数百tb的数据集上同时处理数百个请求。目前,我们的应用程序通过在两个集群(其中一个位于远程数据中心)上调度批处理作业,在123个磁盘上实现每秒1gb的I/O。
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