CSR-PDOS: Hardening Distributed Data Stores for Disaster Recovery

在这个项目中，研究人员专注于使用一种高效的、非传统的基于奇偶校验的复制方案（研究人员称之为SSPiRAL）来提高复制数据存储的可靠性。SSPiRAL（在冗余阵列布局中使用奇偶校验的可生存存储）是一种数据冗余方案，可轻松根据底层基础架构进行定制。SSPiRAL可以根据可用资源和所需的容错级别进行定制，能够在几乎不降低性能的情况下承受多个节点故障。SSPiRAL是一种在存储利用率方面接近最优的算法，它具有对可用资源约束的适应性，以及在组件存储节点丢失的情况下仍能保持高性能的特点，它在多个尺度上有应用：提高小型存储阵列的可靠性，提高大型存储阵列的性能，实现更高效的网格存储，提高存储系统的性能。提高了分布式存储的可靠性和可维护性;并实现了构建协作归档和备份存储的新方法。原型SSPiRAL布局是该项目的重点。原型SSPiRAL系统的单个存储节点是使用商品计算机构建的。该项目旨在开发和完善将数据分发到各个存储节点的系统，并展示SSPiRAL方案在可靠性和可扩展性方面的优势。

In this project the investigators focus on improving the reliability of replicated data stores using an efficient and unconventional parity-based replication scheme the investigators call SSPiRAL. SSPiRAL (Survivable Storage using Parity in Redundant Array Layouts) is a data redundancy scheme that is easily tailored to the underlying infrastructure. SSPiRAL can be tailored to available resources and desired levels of fault-tolerance, capable of surviving multiple node failures with almost no degradation in performance. SSPiRAL is a near-optimal algorithm in terms of storage utilization, and yet it is distinguished by its adaptability to the available resource constraints, and its ability to sustain high performance in spite of the loss of component storage nodes.SSPiRAL has applications at multiple scales: improving the reliability of small storage arrays; improving the performance of large storage arrays; enabling more efficient grid storage; improving the reliability and maintainability of distributed storage; and enabling a novel approach to the construction of collaborative archival and backup stores. A prototype SSPiRAL layout is the focus in this project. Individual storage nodes for the prototype SSPiRAL system are built using commodity computers. The project aims to develop and refine the system for distributing data to the individual storage nodes, and to demonstrate the advantages in reliability and manageability offered by the SSPiRAL scheme.