Managing scientific data with named data networking

Managing scientific data with named data networking
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使用命名数据网络管理科学数据

DOI：
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发表时间：
2015
期刊：
Network-aware Data Management
影响因子：
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通讯作者：
H. Newman
H. Newman
中科院分区：
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文献类型：
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作者：
Chengyu Fan;Susmit Shannigrahi;S. DiBenedetto;C. Olschanowsky;C. Papadopoulos;H. Newman

文献摘要

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许多科学领域，如气候科学和高能物理（HEP），有数据管理的要求，不能很好地支持IP网络架构。命名数据网络（NDN）是一种新的网络体系结构，其服务模型更好地符合面向数据的应用程序的需求。NDN提供了诸如最佳位置检索、缓存、负载共享和透明故障转移等功能，否则这些功能将由IP网络中使用点对点语义的每个应用程序精心（重新）实现。 我们介绍了第一个在NDN之上设计和实现的科学数据管理应用程序。我们使用此应用程序通过专用的高性能测试平台管理气候和HEP数据。我们的应用程序有两个主要组件：用于数据集发现查询的UI和同步名称目录的联合。我们展示了如何NDN原语可以用来实现常见的数据管理操作，如发布，搜索，有效的检索和发布访问控制。
Many scientific domains, such as climate science and High Energy Physics (HEP), have data management requirements that are not well supported by the IP network architecture. Named Data Networking (NDN) is a new network architecture whose service model is better aligned with the needs of data-oriented applications. NDN provides features such as best-location retrieval, caching, load sharing, and transparent failover that would otherwise be painstakingly (re-)implemented by each application using point-to-point semantics in an IP network. We present the first scientific data management application designed and implemented on top of NDN. We use this application to manage climate and HEP data over a dedicated, high-performance, testbed. Our application has two main components: a UI for dataset discovery queries and a federation of synchronized name catalogs. We show how NDN primitives can be used to implement common data management operations such as publishing, search, efficient retrieval, and publication access control.