Coda: A Highly Available File System for a Distributed Workstation Environment
IEEE Transactions on Computers
Accessing Files in an Internet: The Jade File System
IEEE Transactions on Software Engineering
RAID: high-performance, reliable secondary storage
ACM Computing Surveys (CSUR)
Managing update conflicts in Bayou, a weakly connected replicated storage system
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
A tutorial on Reed-Solomon coding for fault-tolerance in RAID-like systems
Software—Practice & Experience
Future Generation Computer Systems - Special issue on metacomputing
End-to-end arguments in system design
ACM Transactions on Computer Systems (TOCS)
Managing Data Storage in the Network
IEEE Internet Computing
Exposed vs. Encapsulated Approaches to Grid Service Archtecture
GRID '01 Proceedings of the Second International Workshop on Grid Computing
Commentaries on “Active networking and end-to-end arguments”
IEEE Network: The Magazine of Global Internetworking
DFTS: a novel distributed high fault-tolerance storage mechanism
ACM SIGOPS Operating Systems Review
Future Generation Computer Systems - iGrid 2002
The Livny and Plank-Beck Problems: Studies in Data Movement on the Computational Grid
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
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This paper addresses the issue of fault-tolerance in applications that make use of network storage. A network storage abstraction called the Network Storage Stack is presented, along with its constituent parts. In particular, a data type called the exNode is detailed, along with tools that allow it to be used to implement a wide-area, striped and replicated file.Using these tools, we evaluate the fault-tolerance of several exNode "files," composed of variable-size blocks stored on 14 different machines at five locations throughout the United States. The results demonstrate that while failures in using network storage occur frequently, the tools built on the Network Storage Stack tolerate them gracefully, and with good performance.