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Javier Alonso
Javier Alonso
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Titel
Zitiert von
Zitiert von
Jahr
Using Virtualization to Improve Software Rejuvenation
L Silva, J Alonso, J Torres
IEEE Transactions on Computers 58 (11), 1525-1538, 2009
1452009
Adaptive on-line software aging prediction based on machine learning
J Alonso López, J Torres Viñals, JL Berral García, R Gavaldà Mestre
Dependable Systems and Networks (DSN), 2010 IEEE/IFIP International …, 2010
113*2010
Predicting Software Anomalies using Machine Learning Techniques
J Alonso, L Belanche, DR Avresky
Network Computing and Applications (NCA), 2011 10th IEEE International …, 2011
922011
A comparative experimental study of software rejuvenation overhead
J Alonso, R Matias, E Vicente, A Maria, KS Trivedi
Performance Evaluation, 2012
822012
Prediction of job resource requirements for deadline schedulers to manage high-level SLAs on the cloud
G Reig, J Alonso, J Guitart
2010 Ninth IEEE International Symposium on Network Computing and …, 2010
722010
Adaptive distributed mechanism against flooding network attacks based on machine learning
JL Berral, N Poggi, J Alonso, R Gavaldà, J Torres, M Parashar
Proceedings of the 1st ACM workshop on Workshop on AISec, 43-50, 2008
632008
Future research directions in design of reliable communication systems
J Rak, M Pickavet, KS Trivedi, JA Lopez, AMCA Koster, JPG Sterbenz, ...
Telecommunication Systems 60, 423-450, 2015
502015
Optimization of two-granularity software rejuvenation policy based on the Markov regenerative process
G Ning, J Zhao, Y Lou, J Alonso, R Matias, KS Trivedi, BB Yin, KY Cai
IEEE Transactions on Reliability 65 (4), 1630-1646, 2016
482016
High-available grid services through the use of virtualized clustering
J Alonso, L Silva, A Andrzejak, P Silva, J Torres
Grid Computing, 2007 8th IEEE/ACM International Conference on, 34-41, 2007
462007
Performance and availability modeling of ITSystems with data backup and restore
R Xia, X Yin, JA Lopez, F Machida, KS Trivedi
IEEE Transactions on Dependable and Secure Computing 11 (4), 375-389, 2013
392013
Reproducibility of environment-dependent software failures: An experience report
DG Cavezza, R Pietrantuono, S Russo, J Alonso, KS Trivedi
Software Reliability Engineering (ISSRE), 2014 IEEE 25th International …, 2014
382014
Predicting web server crashes: a case study in comparing prediction algorithms
J Alonso López, J Torres Viñals, R Gavaldà Mestre
IARIA, 2009
35*2009
Software reliability analysis of NASA space flight software: A practical experience
H Sukhwani, J Alonso, KS Trivedi, I Mcginnis
2016 IEEE International Conference on Software Quality, Reliability and …, 2016
332016
Towards fast OS rejuvenation: An experimental evaluation of fast OS reboot techniques
A Bovenzi, J Alonso, H Yamada, S Russo, KS Trivedi
Software Reliability Engineering (ISSRE), 2013 IEEE 24th International …, 2013
302013
An empirical investigation of fault repairs and mitigations in space mission system software
J Alonso, M Grottke, AP Nikora, KS Trivedi
Dependable Systems and Networks (DSN), 2013 43rd Annual IEEE/IFIP …, 2013
302013
Defects per million computation in service-oriented environments
SK Mondal, X Yin, JK Muppala, JA Lopez, KS Trivedi
IEEE transactions on services computing 8 (1), 32-46, 2013
232013
Software Rejuvenation: Do IT & Telco Industries Use It?
J Alonso, A Bovenzi, J Li, Y Wang, S Russo, K Trivedi
Software Reliability Engineering Workshops (ISSREW), 2012 IEEE 23rd …, 2012
23*2012
Deadline constrained prediction of job resource requirements to manage high-level SLAs for SaaS cloud providers
G Reig, J Alonso, J Guitart
Dept. d’Arquitectura de Computadors, Universitat Politecnica de Catalunya …, 2010
232010
Neural network based approach for time to crash prediction to cope with software aging
M Yakhchi, J Alonso, M Fazeli, AA Bitaraf, A Patooqhy
Journal of Systems Engineering and Electronics 26 (2), 407-414, 2015
202015
The nature of the times to flight software failure during space missions
J Alonso, M Grottke, AP Nikora, KS Trivedi
2012 IEEE 23rd International Symposium on Software Reliability Engineering …, 2012
202012
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