Performance and security in parallel and distributed systems

并行和分布式系统的性能和安全性

• 批准号: 227765-2011
• 负责人: Makaroff, Dwight
• 金额: $ 1.02万
• 依托单位: University of Saskatchewan
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=507885
• 关键词: Performance; security; parallel; distributed; systems

Distributed caching involves storing data in strategic locations within a network and is well-understood in the context of file access, memory access and media content access where it has been studied for many years. In each new environment where caching is implemented, four main questions must be answered: how much information should be stored, where should it be stored, how many copies should be kept at one time, and how does the system determine what is valuable? Depending on system functionality, the type of distribution, system scale, and the amount of parallelism, the answers differ. In this research program, I will investigate several representative emerging systems to explore the costs/benefits of these caching principles, as they apply. Four examples of systems where the replication, location and valuation strategies are expected to differ are 1) malware signatures/traffic profiles in network intrusion detection systems, 2) data and instruction caches in multi-core processors, 3) video objects/metadata in media content distribution networks, and 4) database/web content in multi-tier client-server applications. The expected outcomes are general principles as well as context-specific analysis tools and prototype systems that will give insight to designers in building efficient and secure distributed systems.

分布式缓存涉及将数据存储在网络内的战略位置，并且在文件访问、内存访问和媒体内容访问的背景下已得到很好的理解，并且已经对其进行了多年的研究。在每个实施缓存的新环境中，必须回答四个主要问题：应该存储多少信息、应该存储在哪里、一次应该保留多少个副本以及系统如何确定什么是有价值的？根据系统功能、分布类型、系统规模和并行量，答案会有所不同。在本研究计划中，我将研究几个具有代表性的新兴系统，以探讨这些缓存原则的应用成本/收益。复制、位置和评估策略预计会有所不同的系统的四个示例是 1) 网络入侵检测系统中的恶意软件签名/流量配置文件，2) 多核处理器中的数据和指令缓存，3) 媒体内容分发网络中的视频对象/元数据，以及 4) 多层客户端-服务器应用程序中的数据库/Web 内容。预期结果是一般原则以及特定于上下文的分析工具和原型系统，它们将为设计人员提供构建高效、安全的分布式系统的见解。