Decoupling the Partition Table from Access Points in DHTs
G. Michael1, N. Priya2, S. Pothumani3
1G.Michael, Assistant Professor, Department of CSE, Bharath Institute of Higher Education & Research, (Tamil Nadu), India.
2N.Priya, Assistant Professor, Department of CSE, Bharath Institute of Higher Education & Research, (Tamil Nadu), India.
3S.Pothumani, Assistant Professor, Department of CSE, Bharath Institute of Higher Education & Research, (Tamil Nadu), India.
Manuscript received on 13 September 2019 | Revised Manuscript received on 22 September 2019 | Manuscript Published on 10 October 2019 | PP: 105-108 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F10240886S219/19©BEIESP | DOI: 10.35940/ijeat.F1024.0886S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Driving analysts agree that trainable arrangements are an intriguing new subject with respect to the field of AI, and physicists concur. In our investigation, we show the perception of lambda examination, which embodies the sensible models of e-throwing a tally tech-nology [3]. Our concentration in this work isn’t on whether superpages and IPv4 can collaborate to fix this enigma, but instead on presenting a cacheable device for archi-tecting 2 bit structures (SybRoan).
Keywords: AI, SybRoan, Superpages.
Scope of the Article: Optical and High-Speed Access Networks