INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Secure Resource Allocation using MFRA and k-anomity in a Selective data field
Authors Name:
V. Preethi
, R. Kalaivani , K. Latha
Unique Id:
IJSDR1703012
Published In:
Volume 2 Issue 3, March-2017
Abstract:
In a distributed environment, there is some complexity for resource allocation. The problem of resource allocation has some complications on time, space and data volume. In streambig data analytics, the data processing workflow is abstracted as a directed graph referred to as topology. Data are read from thestorage and processed tuple by tuple, because the content of data is in the format of meta store and these processing results are updated each time dynamically. The proposed system follows the Resource allocation scheme (MFRA), which is evaluated the max-min resource allocation analyze the cluster data shared by multiple topologies in a cloud. To maintain the security in the cloud, the data will be converted into security format by using K-Anomity.
Keywords:
Max-min resource allocation, k-anomity,timeaccess
Cite Article:
"Secure Resource Allocation using MFRA and k-anomity in a Selective data field", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 3, page no.68 - 72, March-2017, Available :http://www.ijsdr.org/papers/IJSDR1703012.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1703012
Registration ID:170077
Published In: Volume 2 Issue 3, March-2017
DOI (Digital Object Identifier):
Page No: 68 - 72
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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