Packet drop probability analysis of ARQ and HARQ-CC with energy harvesting transmitters and receivers
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Year
: 2014DOI: 10.1109/ICIS.2014.6912150
Keyword(s): Big Data,n data analysis,n distributed databases,n scheduling,n virtual machines,n Big Data analysis,n MapReduce applications,n data locality,n distributed programming,n storage node,n task scheduling,n virtual machine,n virtualized Hadoop cluster,n Benchmark testing,n Computer architecture,n Monitoring,n Processor scheduling,n Resource management,n Servers,n Virtualization,n MapReduce,n data locality,n live migrate,n schedulin
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Packet drop probability analysis of ARQ and HARQ-CC with energy harvesting transmitters and receivers
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| contributor author | Sharma, Mohit K. | |
| contributor author | Murthy, Chandra R. | |
| date accessioned | 2020-03-12T22:57:28Z | |
| date available | 2020-03-12T22:57:28Z | |
| date issued | 2014 | |
| identifier other | 7032096.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1100433 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Packet drop probability analysis of ARQ and HARQ-CC with energy harvesting transmitters and receivers | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8242515 | |
| subject keywords | Big Data | |
| subject keywords | n data analysis | |
| subject keywords | n distributed databases | |
| subject keywords | n scheduling | |
| subject keywords | n virtual machines | |
| subject keywords | n Big Data analysis | |
| subject keywords | n MapReduce applications | |
| subject keywords | n data locality | |
| subject keywords | n distributed programming | |
| subject keywords | n storage node | |
| subject keywords | n task scheduling | |
| subject keywords | n virtual machine | |
| subject keywords | n virtualized Hadoop cluster | |
| subject keywords | n Benchmark testing | |
| subject keywords | n Computer architecture | |
| subject keywords | n Monitoring | |
| subject keywords | n Processor scheduling | |
| subject keywords | n Resource management | |
| subject keywords | n Servers | |
| subject keywords | n Virtualization | |
| subject keywords | n MapReduce | |
| subject keywords | n data locality | |
| subject keywords | n live migrate | |
| subject keywords | n schedulin | |
| identifier doi | 10.1109/ICIS.2014.6912150 | |
| journal title | ignal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on | |
| filesize | 180070 | |
| citations | 0 |