M
Micah Beck
Researcher at University of Tennessee
Publications - 93
Citations - 2513
Micah Beck is an academic researcher from University of Tennessee. The author has contributed to research in topics: The Internet & Scalability. The author has an hindex of 21, co-authored 90 publications receiving 2426 citations. Previous affiliations of Micah Beck include Sun Microsystems Laboratories & London School of Economics and Political Science.
Papers
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Proceedings Article
Libckpt: transparent checkpointing under Unix
TL;DR: In this paper, the authors describe a portable checkpointing tool for Unix that implements all applicable performance optimizations which are reported in the literature and also supports the incorporation of user directives into the creation of checkpoints.
The Internet Backplane Protocol: Storage in the Network
TL;DR: The development of IBP is discussed, the implementation of a prototype system for managing network storage, and a preliminary deployment as part of the Internet-2 Distributed Storage Initiative are discussed.
Proceedings ArticleDOI
An end-to-end approach to globally scalable network storage
TL;DR: The Internet Backplane Protocol and the exNode are described, which are tools that have been designed to create a network storage substrate that adheres to end-to-end design principles, and this approach is believed to be fundamental to the future of truly scalable communication.
Journal ArticleDOI
Harness: a next generation distributed virtual machine
Micah Beck,Jack Dongarra,Jack Dongarra,Graham E. Fagg,G. Al Geist,Paul A. Gray,James Arthur Kohl,Mauro Migliardi,Keith Moore,Terry Moore,Philip Papadopoulous,Stephen L. Scott,Vaidy S. Sunderam +12 more
TL;DR: HARNESS seeks to remove some of the limitations imposed by the PVM design by taking a totally different approach to creating and modifying a DVM.
Proceedings ArticleDOI
Dependence flow graphs: an algebraic approach to program dependencies
TL;DR: This paper argues that any good representation of a program must be a data structure that can be rapidly traversed to determine dependence information, and proposes a novel representation called the dependence flow graph which has each of the properties mentioned above.