We describe the architecture, implementation, use, and potential use of a scale, high-performance, distributed-parallel data storage system developed in the ARPA funded MAGIC gigabit testbed. A collection of wide area distributed disk servers operate in parallel to provide logical block level access to large data sets. Operated primarily as a network-based cache, the architecture supports cooperation among independently owned resources to provide fast, large-scale, on-demand storage to support data handling, simulation, and computation
Emerging applications such as data warehousing, multimedia content distribution, electronic commerce...
The allocation and management of physical storage structures in relational database systems is a tim...
Datasets up to terabyte size and petabyte capacities have created a serious imbalance between I/O an...
We have designed, built, and analyzed a distributed parallel storage system that will supply image s...
This paper is an extension to the "Distributed Parallel Architecture for Storing and Processing Larg...
Ever more powerful computers and rapidly enlarging data sets require unprecedented levels of data st...
Abstract: We live in the data age as data storage technologies, hardware and software, have evolved ...
Large scale multimedia storage servers will be an integral part of the emerging distributed multimed...
In this paper we attempt to parallelise a commodity database for OLAP on a cluster of commodity PCs ...
A scalable system can be built when the storage devices such as HDDs are provided to the system via ...
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts ...
Distributed storage systems running on clusters of commodity hardware are challenged by the ever-gro...
We present a new approach to create large-scale cost-effective mass storage systems using high-capac...
Large data stores are pushing the limits of modern technology. Parallel file systems provide high I/...
Large scale storage servers that provide location transparent, interactive access to hundreds or tho...
Emerging applications such as data warehousing, multimedia content distribution, electronic commerce...
The allocation and management of physical storage structures in relational database systems is a tim...
Datasets up to terabyte size and petabyte capacities have created a serious imbalance between I/O an...
We have designed, built, and analyzed a distributed parallel storage system that will supply image s...
This paper is an extension to the "Distributed Parallel Architecture for Storing and Processing Larg...
Ever more powerful computers and rapidly enlarging data sets require unprecedented levels of data st...
Abstract: We live in the data age as data storage technologies, hardware and software, have evolved ...
Large scale multimedia storage servers will be an integral part of the emerging distributed multimed...
In this paper we attempt to parallelise a commodity database for OLAP on a cluster of commodity PCs ...
A scalable system can be built when the storage devices such as HDDs are provided to the system via ...
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts ...
Distributed storage systems running on clusters of commodity hardware are challenged by the ever-gro...
We present a new approach to create large-scale cost-effective mass storage systems using high-capac...
Large data stores are pushing the limits of modern technology. Parallel file systems provide high I/...
Large scale storage servers that provide location transparent, interactive access to hundreds or tho...
Emerging applications such as data warehousing, multimedia content distribution, electronic commerce...
The allocation and management of physical storage structures in relational database systems is a tim...
Datasets up to terabyte size and petabyte capacities have created a serious imbalance between I/O an...