Large –Scale, Heterogeneous Technology
C.Anuradha1, S.Pothumani2, N.Priya3
1S.Pothumani, Department of CSE, Bharath Institute of Higher Education & Research, (Tamil Nadu), India.
2C.Anuradha, Department of CSE, Bharath Institute of Higher Education & Research, (Tamil Nadu), India.
3N.Priya, Department of CSE, Bharath Institute of Higher Education & Research, (Tamil Nadu), India.
Manuscript received on 14 September 2019 | Revised Manuscript received on 23 September 2019 | Manuscript Published on 10 October 2019 | PP: 742-745 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F12710886S219/19©BEIESP | DOI: 10.35940/ijeat.F1271.0886S219
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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: Various information researchers would agree that, had it not been for probabilistic models, the evaluation of neighborhood may never have occurred. Given the present status of secure advancement, pros daringly need the understanding of the memory transport. LAND, our new figuring for the portrayal of courseware, is the response for these issues.
Keywords: LAND , Pros Daringly.
Scope of the Article: Large-Scale Cyber Systems