Biology-Inspired Networking.
The article discusses a networking algorithm modeled on a fruit fly's neurology, developed in part by Carnegie-Mellon University professor Ziv Bar-Joseph, that may render traditional methods for determining peer relationships in groups obsolete. The article describes the methodology of applying mole...
| Publicado en: | Communications of the ACM Vol. 54; no. 6; pp. 11 - 14 |
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| Formato: | Artículo |
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Association for Computing Machinery
Jun2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=63231720&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 63231720 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Jun2011 vid: 54 iid: 6 pid: 68 pub: Association for Computing Machinery artinfo: ui: 63231720 10.1145/1953122.1953128 ppf: 11 ppct: 3 formats: tig: atl: Biology-Inspired Networking. aug: au: Kroeker, Kirk L. su: Algorithms Neurosciences Bar-Joseph, Ziv Molecular models Structural frame models Sensor networks sug: subj: Algorithms Neurosciences Bar-Joseph, Ziv Molecular models Structural frame models Sensor networks ab: The article discusses a networking algorithm modeled on a fruit fly's neurology, developed in part by Carnegie-Mellon University professor Ziv Bar-Joseph, that may render traditional methods for determining peer relationships in groups obsolete. The article describes the methodology of applying molecular mechanism research to scientific networking, including the creation of a maximal independent set (MIS) of leader nodes that can communicate with the rest of the network. According to the article, the algorithm adapts well to sensor networks. The article states that Bar-Joseph and colleagues are attempting to determine how cellular failure can give insight about computer network backup. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2011 holdings: @attributes: islocal: N |
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