Building and Promoting a Linux-based Operating System to Support Virtual Organizations for Next Generation Grids (2006-2010). The emergence of Grids enables the sharing of a wide range of resources to solve large-scale computational and data intensive problems in science, engineering and commerce. While much has been done to build Grid middleware on top of existing operating systems, little has been done to extend the underlying operating systems to enablee and facilitate Grid computing, for example by embedding important functionalities directly into the operating system kernel.
HBase is the Hadoop database. Its an open-source, distributed, column-oriented store modeled after the Google paper, Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Hadoop. HBase's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Try it if your plans for a data store run to big.
Warewulf is a Linux cluster solution that is scalable, flexible and easy to use. Managing and distributing Linux systems to any number of nodes becomes a simple master / slave relationship. Warewulf is the first of its kind which elegantly solves many of
WADI is an acronym of 'WADI Application Distribution Infrastructure'.
WADI started life as a solution to the problems surrounding the distribution of state in clustered web tiers. It has evolved into a more generalised distributed state and service framework.
WADI's aim is to resolve many of the problems of dealing with state in a cluster.
GNBD (Global Network Block Device) provides block-level storage access over an Ethernet LAN. GNBD components run as a client in a GFS node and as a server in a GNBD server node. A GNBD server node exports block-level storage from its local storage (either
J. Turian, L. Ratinov, and Y. Bengio. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, page 384--394. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
A. Bethmann, and K. Wenzig. Clusteranalyse: Anwendungsorientierte Einführung in Klassifikationsverfahren, Oldenbourg, München, 3., Auflage edition, (2010)
A. Rosenberg, and J. Hirschberg. Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning(EMNLP-CoNLL), page 410--420. (2007)
A. Rosenberg, and J. Hirschberg. Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning(EMNLP-CoNLL), page 410--420. (2007)
W. Sun, R. de Grijs, Z. Fan, and E. Cameron. (2015)cite arxiv:1511.04490Comment: ApJ, in press, 39 pages in AAS preprint format, 10 multi-panel figures (some reduced in size to match arXiv compilation routines).
J. Artiles, E. Amigó, and J. Gonzalo. Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2, page 534--542. Stroudsburg, PA, USA, Association for Computational Linguistics, (2009)