PVFS: parallel virtual file system
Beowulf cluster computing with Linux
GPFS: A Shared-Disk File System for Large Computing Clusters
FAST '02 Proceedings of the Conference on File and Storage Technologies
Grid Datafarm Architecture for Petascale Data Intensive Computing
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
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
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Data ONTAP GX: a scalable storage cluster
FAST '07 Proceedings of the 5th USENIX conference on File and Storage Technologies
Dynamo: amazon's highly available key-value store
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
Scalable performance of the Panasas parallel file system
FAST'08 Proceedings of the 6th USENIX Conference on File and Storage Technologies
A scalable, commodity data center network architecture
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
IBM scale out file services: reinventing network-attached storage
IBM Journal of Research and Development
Tashi: location-aware cluster management
ACDC '09 Proceedings of the 1st workshop on Automated control for datacenters and clouds
VL2: a scalable and flexible data center network
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Safe and effective fine-grained TCP retransmissions for datacenter communication
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
FAWN: a fast array of wimpy nodes
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines
The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines
ACM SIGOPS Operating Systems Review
Decoupling storage and computation in Hadoop with SuperDataNodes
ACM SIGOPS Operating Systems Review
Panache: a parallel file system cache for global file access
FAST'10 Proceedings of the 8th USENIX conference on File and storage technologies
Cloud analytics: do we really need to reinvent the storage stack?
HotCloud'09 Proceedings of the 2009 conference on Hot topics in cloud computing
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Data centers in the "cloud" will need to support a wide range of applications, each with their own input/output (I/O) requirements. Some applications perform small and random I/O operations, whereas others demand high streaming bandwidth. In addition, in order to reduce costs, cloud data centers will contain thousands of commodity servers and network switches. Delivering high performance with unreliable commodity hardware for this range of workloads is a grand challenge. ZoneFS uses zone-based data striping in data center infrastructures built from commodity network switches. By striping data in zones, ZoneFS reduces network congestion and avoids one or more storage servers from becoming I/O bottlenecks. In this paper, we present the overall design and implementation of ZoneFS and evaluate its key features with several cloud-computing workloads.