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AitF: The Fuzzy Log: A Unifying Abstraction for the Theory and Practice of Distributed Systems

AitF：模糊日志：分布式系统理论与实践的统一抽象

基本信息

批准号：
1637385
负责人：
Zhong Shao
金额：
$ 60万
依托单位：
Yale University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-10-01 至 2019-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1637385&HistoricalAwards=false
关键词：
AitF Fuzzy Log Unifying Abstraction

项目摘要

The Fuzzy Log project seeks to democratize the design and development of complex distributed systems, accelerating innovation by allowing developers to focus on high-level application functionality instead of low-level protocol details. Examples of such complex systems include Software Defined Network controllers for the network, filesystem namespaces for storage, schedulers and allocators for big data run-times, and general-purpose coordination services. These distributed systems require large numbers of highly trained engineers and scientists to construct and operate them. Simplifying the design, development, deployment and debugging of such systems can drastically reduce the cost to create and operate massively scalable cloud services that are reliable and responsive. More broadly, the Fuzzy Log project will also act as an educational gestalt that combines distributed systems and theory to improve the state of the art in cloud computing.A Fuzzy Log is a partially ordered shared log that multiple clients can append to and read from concurrently. As in other shared log designs, applications can extract properties such as consistency, durability, and concurrency control from the Fuzzy Log. However, unlike a conventional shared log, a Fuzzy Log does not impose a total order over all entries. When clients append to the log, they specify dependencies to define a partial order; when they read from the log, the system returns entries in some sequence satisfying the partial order. Fuzzy Log applications are simple to design, implement, and debug, with full-fledged distributed systems realized in hundreds of lines of code. Fuzzy Log applications are also fast and scalable, extracting parallelism from workloads while imposing order only when strictly necessary.

模糊日志项目寻求使复杂分布式系统的设计和开发民主化，通过允许开发人员专注于高级应用程序功能而不是低级协议细节来加速创新。这类复杂系统的示例包括用于网络的软件定义的网络控制器、用于存储的文件系统命名空间、用于大数据运行时的调度器和分配器以及通用协调服务。这些分布式系统需要大量训练有素的工程师和科学家来构建和操作它们。简化此类系统的设计、开发、部署和调试可以大幅降低创建和运营可靠且响应迅速的大规模可扩展云服务的成本。更广泛地说，模糊日志项目还将作为一个教育完形，将分布式系统和理论结合起来，以提高云计算的技术水平。模糊日志是一个部分有序的共享日志，多个客户端可以同时添加和读取。与其他共享日志设计一样，应用程序可以从模糊日志中提取一致性、持久性和并发控制等属性。然而，与传统的共享日志不同，模糊日志不会对所有条目施加总顺序。当客户端附加到日志中时，它们指定依赖项来定义部分顺序；当它们从日志中读取时，系统以某种顺序返回满足部分顺序的条目。模糊日志应用程序易于设计、实现和调试，成熟的分布式系统只需数百行代码即可实现。模糊日志应用程序也是快速和可伸缩的，从工作负载中提取并行性，同时仅在严格必要时才进行排序。