A dynamic shortest path weighted routing mechanism for MANET based on complex network theory
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Year
: 2014DOI: 10.1109/IPDPS.2014.102
Keyword(s): data analysis,n very large databases,n I-O-intensive big data jobs,n RCMP,n big data analytics,n data replication,n double data loss events,n finer-grained task scheduling granularity,n first-order failure resilience strategy,n hot-spots,n intermediate job outputs,n job recomputation,n single data loss events,n very large datasets,n Big data,n Educational institutions,n Market research,n Middleware,n Processor scheduling,n Resilience
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A dynamic shortest path weighted routing mechanism for MANET based on complex network theory
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| contributor author | Yinghe, Wang | |
| contributor author | Lin, Chang | |
| contributor author | Kai, Yu | |
| contributor author | Chong, Tan | |
| contributor author | Zhiyong, Bu | |
| date accessioned | 2020-03-12T22:16:12Z | |
| date available | 2020-03-12T22:16:12Z | |
| date issued | 2014 | |
| identifier other | 7000257.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1077121?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A dynamic shortest path weighted routing mechanism for MANET based on complex network theory | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8213359 | |
| subject keywords | data analysis | |
| subject keywords | n very large databases | |
| subject keywords | n I-O-intensive big data jobs | |
| subject keywords | n RCMP | |
| subject keywords | n big data analytics | |
| subject keywords | n data replication | |
| subject keywords | n double data loss events | |
| subject keywords | n finer-grained task scheduling granularity | |
| subject keywords | n first-order failure resilience strategy | |
| subject keywords | n hot-spots | |
| subject keywords | n intermediate job outputs | |
| subject keywords | n job recomputation | |
| subject keywords | n single data loss events | |
| subject keywords | n very large datasets | |
| subject keywords | n Big data | |
| subject keywords | n Educational institutions | |
| subject keywords | n Market research | |
| subject keywords | n Middleware | |
| subject keywords | n Processor scheduling | |
| subject keywords | n Resilience | |
| identifier doi | 10.1109/IPDPS.2014.102 | |
| journal title | etwork Infrastructure and Digital Content (IC-NIDC), 2014 4th IEEE International Conference on | |
| filesize | 154737 | |
| citations | 0 |