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The Open Cloud Testbed: A Wide Area Testbed for Cloud Computing Utilizing High Performance Network Services

Autor: Grossman, Robert, Gu, Yunhong, Sabala, Michal, Bennet, Collin, Seidman, Jonathan, Mambratti, Joe

Recently, a number of cloud platforms and services have been developed for data intensive computing, including Hadoop, Sector, CloudStore (formerly KFS), HBase, and Thrift. In order to benchmark the performance of these systems, to investigate their

Externí odkaz: http://arxiv.org/abs/0907.4810

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Sector and Sphere: Towards Simplified Storage and Processing of Large Scale Distributed Data

Autor: Gu, Yunhong, Grossman, Robert L

Cloud computing has demonstrated that processing very large datasets over commodity clusters can be done simply given the right programming model and infrastructure. In this paper, we describe the design and implementation of the Sector storage cloud

Externí odkaz: http://arxiv.org/abs/0809.1181

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Data Mining Using High Performance Data Clouds: Experimental Studies Using Sector and Sphere

Autor: Grossman, Robert L, Gu, Yunhong

We describe the design and implementation of a high performance cloud that we have used to archive, analyze and mine large distributed data sets. By a cloud, we mean an infrastructure that provides resources and/or services over the Internet. A stora

Externí odkaz: http://arxiv.org/abs/0808.3019

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Compute and Storage Clouds Using Wide Area High Performance Networks

Autor: Grossman, Robert L., Gu, Yunhong, Sabala, Michael, Zhang, Wanzhi

We describe a cloud based infrastructure that we have developed that is optimized for wide area, high performance networks and designed to support data mining applications. The infrastructure consists of a storage cloud called Sector and a compute cl

Externí odkaz: http://arxiv.org/abs/0808.1802

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