Exploiting Object Relationships for More Deterministic Management of Distributed Objects

利用对象关系对分布式对象进行更确定的管理

• 批准号: 9988250
• 负责人: Craig Wills
• 金额: $ 6.61万
• 依托单位: Worcester Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9988250&HistoricalAwards=false
• 关键词: Exploiting; Object; Relationships; More; Deterministic

Caching and replication of objects on the Internet and the World Wide Web are frequently used techniques to reduce latencies for clients accessing these objects while reducing network and server load. This work investigates the potential of managing objects where servers supply more complete information to client caches and use the information to manage replicated content. The idea is to exploit composite objects, which group a set of distinct objects where each object has a uniform type and change characteristic. Relationships between these objects can be "compiled" at a server into information that the server can pass to clients. Such information ranges from explicit expiration times for caching/replicating a list of objects to invalidations based on the object membership in a volume of related objects.A client/server environment consisting of objects with different types and relationships will be used to test the approach. It is expected to yield more effective and predictable caching as well as drive placement and removal of replicated content, particularly when combined with client access counts. The work will have continued impact as distributed object environments continue to grow in size with increasing diversity in the type of objects grouped together and served.

Internet 和万维网上的对象缓存和复制是常用技术，可减少客户端访问这些对象的延迟，同时减少网络和服务器负载。 这项工作研究了管理对象的潜力，其中服务器向客户端缓存提供更完整的信息并使用该信息来管理复制的内容。 这个想法是利用复合对象，它将一组不同的对象分组，其中每个对象具有统一的类型和变化特征。 这些对象之间的关系可以在服务器上“编译”成服务器可以传递给客户端的信息。 此类信息的范围从用于缓存/复制对象列表的显式到期时间到基于相关对象卷中的对象成员身份的失效。将使用由具有不同类型和关系的对象组成的客户端/服务器环境来测试该方法。 预计它将产生更有效和可预测的缓存，并推动复制内容的放置和删除，特别是与客户端访问计数相结合时。 随着分布式对象环境的规模不断扩大，以及分组和服务的对象类型的多样性不断增加，这项工作将产生持续的影响。