Scale and performance in a distributed file system
ACM Transactions on Computer Systems (TOCS)
Serverless network file systems
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
Frangipani: a scalable distributed file system
Proceedings of the sixteenth ACM symposium on Operating systems principles
A cost-effective, high-bandwidth storage architecture
Proceedings of the eighth international conference on Architectural support for programming languages and operating systems
GPFS: A Shared-Disk File System for Large Computing Clusters
FAST '02 Proceedings of the Conference on File and Storage Technologies
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
The Panasas ActiveScale Storage Cluster: Delivering Scalable High Bandwidth Storage
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Lazy Verification in Fault-Tolerant Distributed Storage Systems
SRDS '05 Proceedings of the 24th IEEE Symposium on Reliable Distributed Systems
Ursa minor: versatile cluster-based storage
FAST'05 Proceedings of the 4th conference on USENIX Conference on File and Storage Technologies - Volume 4
Cluster delegation: high-performance, fault-tolerant data sharing in NFS
HPDC '05 Proceedings of the High Performance Distributed Computing, 2005. HPDC-14. Proceedings. 14th IEEE International Symposium
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Due to the rapid growth of World Wide Web and the popularization of personal computer, the number of World Wide Web users is increasing in an incredible speed. It makes the need of disk space for a large web service also increases in the same rate. Therefore, it becomes to an important technique to design and implement a powerful network file system for the large web service providers. In this paper we proposed three design issues for the scalable network file system. We use the variable number of objects within a bucket to decrease the internal fragmentation in small files. We also proposed the free space and access load-balancing mechanism to balance the overall loading within the bucket servers. And last we proposed a mechanism for caching data which is frequently accessed to lower the total number of disk I/O. These proposed mechanisms will effectively improve the performance of the scalable network file system for the large web services.