214
International Conference on Performance Engineering, ICPE ‘12, Boston,
Massachusetts, USA, 2012, pp. 85–96.
19.
Gustedt, J. Experimental methodologies for large-scale systems: a survey
/ J. Gustedt, E. Jeannot, M. Quinson // Parallel Process. Lett. — World Scientific, 2009.
— Vol. 19. — P. 399-418.
20.
Bolze, R. Grid’5000: A Large Scale
And Highly Reconfigurable
Experimental Grid Testbed / R. Bolze, F. Cappello, E. Caron, M. Dayde, F. Desprez et
al. / / Int. J. High Perform. Comput. Appl. — USA: Sage Publications, 2006. — Vol.
20. — P. 481-494.
21.
Chun, B. Planetlab: an overlay testbed for broad-coverage services / B.
Chun, D. Culler, T. Roscoe//ACM SIGCOMM. — USA: ACM, 2003. — Vol. 33. —
P. 3-12.
22.
Song, H.J. The MicroGrid: A Scientific Tool for Modeling Computational
Grids / H.J. Song // Proc. IEEE Supercomput. — USA: IEEE, 2000. — P. 4-10.
23.
Корсуков, А.С. Инструментальные средства полунатурного
моделирования распределенных вычислительных систем /А.С. Корсуков //
Современные технологии. Системный анализ. Моделирование. — Россия:
Иркутский государственный университет путей сообщения, 2011. — Т. 3. — C.
105-110.
24.
Endo, T. Linpack evaluation on a supercomputer
with heterogeneous
accelerators / T. Endo // Parallel & Distrib. Process. (IPDPS), 2010 IEEE Int. Symp. —
USA: IEEE, 2010. — P. 1-8.
25.
Bailey, D.H. NAS parallel benchmark results / D.H. Bailey / / Proc.
Supercomput. ‘92. USA: IEEE, 1992. — P. 1-13.
26.
Buyya, R. GridSim: a toolkit for the modeling and simulation of
distributed resource management and scheduling for Grid computing / R. Buyya, M.
Murshed / / Concurr. Comput. Pract. Exp. — USA: Wiley, 2002. — Vol. 14. — № 13-
15. — P. 1175-1220.
215
27.
Quinson, M. SimGrid: a generic framework
for large-scale distributed
experiments / M. Quinson // 2009 IEEE Ninth Int. Conf. Peer-to-Peer Comput. — USA:
IEEE, 2009. — P. 126-131.
28.
Calheiros, R.N. CloudSim: A Novel Framework for Modeling and
Simulation of Cloud Computing Infrastructures and Services./ R.N. Calheiros. Eprint:
Australia, 2009. — 9 p.
29.
Buyya, R. Modeling and simulation
of scalable Cloud computing
environments and the CloudSim toolkit: Challenges and opportunities / R. Buyya, R.
Ranjan, R.N. Calheiros // 2009 Int. Conf. High Perform. Comput. Simul. — USA:
IEEE, 2009. — P. 1-11.
30.
Fittkau, F. CDOSim: Simulating cloud deployment options for software
migration support / F. Fittkau, S. Frey, W. Hasselbring // 2012 IEEE 6th Int. Work.
Maint. Evol. Serv. Cloud-Based Syst. — USA: IEEE, 2012. — P. 37-46.
31.
Jararweh, Y. TeachCloud: a cloud computing educational toolkit / Y.
Jararweh et al. / / Int. J. Cloud Comput. 2012. — InderScience Publ., 2012. — Vol. 2.
— P. 237-257.
32.
Nunez, A. iCanCloud: A Flexible and Scalable Cloud Infrastructure
Simulator / A. Nunez // J. Grid Comput. 2012. — Germany: Springer, 2012. — Vol.
10. — P. 185209.
33.
Sriram, I. SPECI, a Simulation Tool Exploring Cloud-Scale Data Centres
/ I. Sriram // Lect. Notes Comput. Sci. 2009. — Germany: Springer, 2009.- Vol. 5931.
— P. 381-392.
34.
Keller, G. DCSim: A data centre simulation tool / G. Keller / / Integr.
Netw. Manag. 2012. — USA: IEEE, 2012. — P. 1090-1091.
35.
Имитационное моделирование с применением
библиотеки классов
языка Java, разработанной для «облачных» сервисов. А.Ю. Быков, Ф.А.
Панфилов, О.О. Сумарокова, МГТУ им. Н.Э. Баумана, Москва, 105005, Россия.
