Efficient analysis methodology for huge application traces
Publisher:
Year
: 2014DOI: 10.1109/ARES.2014.13
Keyword(s): Androids,Instruments,Internet,Runtime,Security,Servers,Smart phones,Android,Data Flow,Data-Centric,Enforcement,Policy,System-Wide
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Efficient analysis methodology for huge application traces
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date accessioned | 2020-03-12T23:39:50Z | |
date available | 2020-03-12T23:39:50Z | |
date issued | 2014 | |
identifier other | 6903791.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1119825?locale-attribute=en | |
format | general | |
language | English | |
publisher | IEEE | |
title | Efficient analysis methodology for huge application traces | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8289911 | |
subject keywords | Androids | |
subject keywords | Instruments | |
subject keywords | Internet | |
subject keywords | Runtime | |
subject keywords | Security | |
subject keywords | Servers | |
subject keywords | Smart phones | |
subject keywords | Android | |
subject keywords | Data Flow | |
subject keywords | Data-Centric | |
subject keywords | Enforcement | |
subject keywords | Policy | |
subject keywords | System-Wide | |
identifier doi | 10.1109/ARES.2014.13 | |
journal title | igh Performance Computing & Simulation (HPCS), 2014 International Conference on | |
filesize | 1004271 | |
citations | 0 | |
contributor rawauthor | Dosimont, D. , Pagano, G. , Huard, G. , Huard, V.M.-M. , Vincent, J.-M. |