Subcube Fault-Tolerance in Hypercubes
dc.contributor.author | Graham, N. | en_US |
dc.contributor.author | Harary, Frank | en_US |
dc.contributor.author | Livingston, Marilynn | en_US |
dc.contributor.author | Stout, Quentin F. | en_US |
dc.date.accessioned | 2006-04-10T15:54:31Z | |
dc.date.available | 2006-04-10T15:54:31Z | |
dc.date.issued | 1993-02 | en_US |
dc.identifier.citation | Graham, N., Harary, F., Livingston, M., Stout, Q. F., (1993/02). "Subcube Fault-Tolerance in Hypercubes." Information and Computation 102(2): 280-314. <http://hdl.handle.net/2027.42/30996> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6WGK-45PTHMD-25/2/a2db91551b19de2f7e2b91bc1fde38ef | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/30996 | |
dc.description.abstract | We consider the problem of determining the minimum number of faulty processors, K(n, m), and of faulty links, [lambda](n, m), in an n-dimensional hypercube computer so that every m-dimensional subcube is faulty. Best known lower bounds for K(n, m) and [lambda](n, m) are proved, several new recursive inequalities and new upper bounds are established, their asymptotic behavior for fixed m and for fixed n - m is analyzed, and their exact values are determined for small n and m. Most of the methods employed show how to construct sets of faults attaining the bounds. An extensive survey of related work is also included, showing connections to resource allocation, k-independent sets, and exhaustive testing. | en_US |
dc.format.extent | 1401385 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Subcube Fault-Tolerance in Hypercubes | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Science (General) | en_US |
dc.subject.hlbsecondlevel | Information and Library Science | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Advanced Computer Architecture Lab, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA. | en_US |
dc.contributor.affiliationum | Advanced Computer Architecture Lab, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA. | en_US |
dc.contributor.affiliationother | Computing Research LAb, Department of Computer Science, New Mexico State University, Las Cruces, NM 88003, USA. | en_US |
dc.contributor.affiliationother | Computing Research LAb, Department of Computer Science, New Mexico State University, Las Cruces, NM 88003, USA. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/30996/1/0000671.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1006/inco.1993.1010 | en_US |
dc.identifier.source | Information and Computation | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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