论文摘要和外文翻译案例各一则

  • 格式:doc
  • 大小:392.50 KB
  • 文档页数:3

下载文档原格式

  / 3
  1. 1、下载文档前请自行甄别文档内容的完整性,平台不提供额外的编辑、内容补充、找答案等附加服务。
  2. 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
  3. 3、如文档侵犯您的权益,请联系客服反馈,我们会尽快为您处理(人工客服工作时间:9:00-18:30)。

实验室安全员论文翻译(节选)

在高校实验室全面开放的大背景下,加强对实验室安全管理体系的建设显得尤为重要。对此,高校可以采取的措施有:招募学生安全员,将其纳入实验室安全管理体系,并制定相关规章制度规范其管理行为。在该系统的引导下,学生管理员能够充分利用课外时间,积极主动地参与到实验室安全管理当中。他们能够将一些细小的实验室安全隐患消灭在萌芽状态,是实验室管理人员的有益补充。

Against the background that the colleges all over the country have opened laboratories to their students thoroughly, it is of vital importance that the colleges should take measures to enhance the establishment of the Laboratory Security Management System. For example, the colleges can recruit their students as the laboratory guards and bring them into the system, and lay down a series of rules relative to the laboratory security to regulate their management behavior. Under the guidance of the System, students can actively make the most of their spare time to take part in the management of the laboratories on their own. In this respect, these student guards, who can make contribution to nodding the hidden some tiny security trouble of the laboratories in the bud, are favourable supplement laboratory management backup personnel.

The Mainframe Strikes Back:

Multi Tenancy in the Main Memory Database

HyPer on a TB-Server

主机的反击:

TB标准服务器的多用户内存数据库双向传输总线技

Abstract

Contrary to recent trends in database systems research focussing on scaling out workloads on a cluster of commodity computers, this presentation will break grounds for scale-up. We show that an elastic(有弹性的)multi-tenancy solution can be achieved by combining a many-core server with a low footprint main memory database system. Total transactional throughput for TPC-C like order-entry transactions reaches up to 2 million transactions per second on a 32 core server while the number of tenants sharing a single server can be varied from a few to hundreds of separate tenants without diminishing total throughput. Contrary to common belief, a scale-up solution provides high flexibility for tenants with growing throughput needs and allows for simple sharing of common resources between different tenants while minimizing hardware and computing overhead. We show that our approach can handle changes in tenant requirements with minimal impact on other tenants on the server. Additionally, we prove that our architecture provides sufficient per-tenant throughput to handle big tenants and scales well with database size.

摘要

不同于近年来聚焦于超负荷运作的商用电脑集群的数据库系统研究趋势,本论文将为扩大数据库的容量提供新的途径。本文将展示一种灵活的多租赁用户的解决方案,这种方案是通过在一款多核的服务器上使用一种操作痕迹较少的内存数据系统实现的。TPC(Transaction Processing Performance Council事务处理性

能委员会)-C标准的设备的数据处理总量,例如在一台32核的处理器上订单输入处理量高达每秒20亿次,而且尽管分享单台服务器的租赁用户可数量可能会从几个到上百个不等,也不会减少总的数据流量。不同于我们通常的理解,在不断增长的总数据流量情况下仍能够为不同服务器租赁用户提供灵活的数据流量扩大解决方案,且这种方案可以在压缩硬件和计算的成本的基础上允许不同的租赁用户共享基本的公用资源。本文证明了该种途径能够在对同一个服务器其他租赁用户影响最小的情况下处理租户需求。此外,我们还证明我们的结构能够通过控制数据库的容量为每位租赁用户提供有效的数据流量以很好地应对对数据流量需求较大的用户。