Cassandra: a structured storage system on a P2P network
Cassandra: a structured storage system on a P2P network
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DOI：
10.1145/1583991.1584009
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发表时间：
2009-08
期刊：
影响因子：
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通讯作者：
A. Lakshman;Prashant Malik
中科院分区：
文献类型：
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作者：
A. Lakshman;Prashant Malik
Cassandra是一个用于管理结构化数据的分布式存储系统，旨在跨许多商用服务器扩展到非常大的规模，没有单点故障。大规模的可靠性是一个非常大的挑战。服务中断可能会产生重大的负面影响。因此，Cassandra的目标是在数百个节点的基础设施上运行（可能分布在不同的网络中心）。在这种规模下，小型和大型组件会不断出现故障; Cassandra在面对这些故障时管理持久状态的方式推动了依赖此服务的软件系统的可靠性和可扩展性。Cassandra实现了几个目标--可伸缩性、高性能、高可用性和适用性。在许多方面，Cassandra类似于数据库，并与数据库共享许多设计和实现策略。Cassandra不支持完整的关系数据模型;相反，它为客户端提供了一个简单的数据模型，支持对数据布局和格式的动态控制。
Cassandra is a distributed storage system for managing structured data that is designed to scale to a very large size across many commodity servers, with no single point of failure. Reliability at massive scale is a very big challenge. Outages in the service can have significant negative impact. Hence Cassandra aims to run on top of an infrastructure of hundreds of nodes (possibly spread across different datacenters). At this scale, small and large components fail continuously; the way Cassandra manages the persistent state in the face of these failures drives the reliability and scalability of the software systems relying on this service. Cassandra has achieved several goals -- scalability, high performance, high availability and applicability. In many ways Cassandra resembles a database and shares many design and implementation strategies with databases. Cassandra does not support a full relational data model; instead, it provides clients with a simple data model that supports dynamic control over data layout and format.