A comparative evaluation of software rejuvenation strategies

Proceedings - 2011 3rd International Workshop on Software Aging and Rejuvenation, WoSAR 2011

Volumn , Issue , 2011, Pages 26-31

  Alonso, Javier ^a   Matias, Rivalino ^b   Vicente, Elder ^b   Carvalho, Ana M ^b   Trivedi, Kishor ^c  

^a BARCELONA SUPERCOMPUTING CENTER   (Spain)

^b FEDERAL UNIVERSITY OF UBERLÂNDIA   (Brazil)

^c USA   (United States)

Author keywords

memory leaks; software aging; Software rejuvenation; system availability; virtualization

Indexed keywords

MEMORY LEAKS; SOFTWARE AGING; SOFTWARE REJUVENATION; SYSTEM AVAILABILITY; VIRTUALIZATIONS;

ENDOCRINOLOGY;

EID: 84857168347     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WoSAR.2011.16     Document Type: Conference Paper

References (17)

1. Y. Huang, C. Kintala, N. Kolettis, and N. Fulton, "Software rejuvenation: analysis, module and applications," in FTCS-25, 1995.
2. M. Grottke, R. Matias, and K. Trivedi, "The fundamentals of software aging," in ISSRE-WoSAR'08, 2008, pp. 1-6.
3. V. Castelli, R. E. Harper, P. Heidelberger, S. W. Hunter, K. S. Trivedi, K. Vaidyanathan, and W. P. Zeggert. "Proactive management of software aging," IBM Journal of Research and Devel., 2001.
4. M. Grottke, L. Li, K. Vaidyanathan and K. Trivedi. "Analysis of software aging in a web server," IEEE Trans. on Reliability, 2006.
5. R. Matias, P. J. F. Filho, "An Experimental Study on Software Aging and Rejuvenation in Web Servers," in 30th IEEE COMPSAC Washington, DC, USA, 2006.
6. L. Moura Silva, J. Alonso, P. Silva, J. Torres and A. Andrzejak, "Using virtualization to improve software rejuvenation," in IEEE Int'l Symposium on Network Computing and Applications, 2007.
7. K. Kourai, and S. Chiba, "Fast Software Rejuvenation of Virtual Machine Monitors," IEEE TDSC, pp. 1-14, 2010.
8. A. Andrzejak, and L. Silva, "Using machine learning for non-intrusive modeling and prediction of software aging," in IEEE/IFIP NOMS 2008.
9. J. Alonso, J. Torres, J. L. Berral, and R. Gavalda, "Adaptive on-line software aging prediction based on machine learning," DSN, 2010.
10. G. Candea, S. Kawamoto, Y. Fujiki, G. Firedman and A. Fox, "Microreboot - A technique for cheap recovery" Proc. 6th Symp. on Opearting Systems Design & Implementation, Berkeley, CA, 2004
11. R. Matias, I. Beicker, B. Leitao, P. Maciel, Measuring software aging effects through os kernel instrumentation, in: Software Aging and Rejuvenation (WoSAR), 2010 IEEE Second International Workshop on, 2010, pp. 1 -6. doi:10.1109/WOSAR.2010.5722094.
12. A. Pfiffer. Reducing System Reboot Time with kexec. http://www.osdl.org/.
13. TPC-W in Java for Tomcat and MySQL: http://www.cs.cmu/edu/ ~manjhi/tpcw.html
14. Apache Tomcat Server http://tomcat.apache.org/
15. K. Vaidyanathan, and K. S. Trivedi. "A comprehensive model for software rejuvenation," IEEE TDSC, 2005.
16. D. Menasce, A. Virgilio, Scaling for E Business: Technologies, Models, Performance, and Capacity Planning, Prentice Hall 2000.
17. A. Macêdo, T. B. Ferreira, and R. Matias, "The Mechanics of Memory-Related Software Aging", in Software Aging and Rejuvenation (WoSAR),San Jose, CA, 2010.