Performance evaluation of advanced routing algorithms for unstructured peer-to-peer networks

ACM International Conference Proceeding Series

Volumn 180, Issue , 2006, Pages

  Amoretti, Michele ^a   Zanichelli, Francesco ^a   Conte, Gianni ^a  

^a UNIVERSITY OF PARMA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS AGENTS; BANDWIDTH; PROBLEM SOLVING; ROUTING ALGORITHMS; STORAGE ALLOCATION (COMPUTER); VIRTUAL REALITY;

ADVANCED ROUTING ALGORITHMS; PEER-TO-PEER NETWORKS; STORAGE CAPACITY; VIRTUALIZATION;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 34748879401     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1190095.1190159     Document Type: Conference Paper

References (18)

1. Advanced Technology Labs. Agent and distributed objects quality of service. http ://www.atl.external.lmco.com/proj ects/QoS, 2006.
2. BEEN Developers. Benchmarking environment (BEEN), http://nenya.ms.mff. cuni.cz/been, 2006.
3. L. Bulej, T. Kalibera, and P. Tuma. Repeated results analysis for middleware regression benchmarking. Performance Evaluation, 60(1-4):345-358, May 2005.
4. M. Courson, A. Mink, G. Marcais, and B. Traverse. An automated benchmarking toolset. In HPCN Europe, volume 1823 of LNCS, pages 497-506. Springer, 2000.
5. D. Grisby et al. Free high performance orb. http ://omnlorb.sourceforge. net, 2006.
6. B. Dillenseger and E. Cecchet. CLIF is a Load Injection Framework. In Workshop on Middleware Benchmarking: Approaches, Results, Experiences, OOPSLA 2003, Oct. 2003.
7. Distributed Systems Research Group. Mono regression benchmarking. http://nenya.ms.mff.cuni.cz/projects/mono, 2005.
8. Distributed Systems Research Group. Comprehensive COR.BA benchmarking, http : //nenya. ms. mf f. cuni. cz/projects/corba/xampler.html, 2006.
9. DOC Group. TAO perf. scoreboard, http://www.dre. vanderbilt.edu/stats/ performance.shtml, 2006.
10. Free Software Foundation. The R project for statistical computing, http://www.r-project.org, 2006.
11. T. Kalibera, L. Bulej, and P. Tuma. Generic environment for full automation of benchmarking. In SOQUA/TECOS, volume 58 of LNI, pages 125-132. GI, 2004.
12. T. Kalibera, L. Bulej, and P. Turna. Benchmark precision and random initial state. In SPECTS 2005, pages 853-862, San Diego, CA, USA, July 2005. SCS.
13. T. Kalibera and P. Tuma. Precise regression benchmarking with random effects: Improving Mono benchmark results. In Formal Methods and Stochastic Models for Performance Evaluation, volume 4054 of LNCS, pages 63-77. Springer, June 2006.
14. A. M. Memon, A. A. Porter, C. Yilmaz, A. Nagarajan, D. C. Schmidt, and B. Natarajan. Skoll: Distributed continuous quality assurance. In ICSE, pages 459-468. IEEE Computer Society, 2004.
15. M. Prochazka, A. Madan, J. Vitek, and W. Liu. RTJBench: A Real-Time Java Benchmarking Framework. In Component And Middleware Performance Workshop, OOPSLA 2004, Oct. 2004.
16. Supercomputer Computations Research Institute, Florida, State University. Distributed queueing system, http : //packages. qa. debian. org/d/dqs. html, 1998.
17. University Corporation for Atmospheric Research. Network Common Data, Form. http://www.unidata.ucar.edu/software/netcdf, 2006.
18. C. Yilmaz, A. S. Krishna, A. M. Memon, A. A. Porter, D. C. Schmidt, A. S. Gokhale, and B. Natarajan. Main effects screening: a, distributed continuous quality assurance process for monitoring performance degradation in evolving software systems. In ICSE, pages 293-302. ACM, 2005.