Performance Analysis of Cloud Computing Centers

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Volumn 74 LNICST, Issue , 2012, Pages 251-264

  Khazaei, Hamzeh ^a   Mišić, Jelena ^b   Mišić, Vojislav B ^b  

^a UNIVERSITY OF MANITOBA   (Canada)

^b RYERSON UNIVERSITY   (Canada)

Author keywords

cloud computing; M G m queuing system; performance analysis; response time

Indexed keywords

ACCURATE PERFORMANCE; COMPUTING PARADIGM; COMPUTING RESOURCE; PERFORMANCE ANALYSIS; PERFORMANCE INDICATORS; QUEUING SYSTEMS; SERVICE LEVEL AGREEMENTS; SOFTWARE APPLICATIONS;

APPLICATION PROGRAMS; CLOUD COMPUTING; HETEROGENEOUS NETWORKS; RELIABILITY; RESPONSE TIME (COMPUTER SYSTEMS);

INFRASTRUCTURE AS A SERVICE (IAAS);

EID: 84884992026     PISSN: 18678211     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-29222-4_18     Document Type: Conference Paper

References (20)

1. Boxma, O.J., Cohen, J.W., Huffel, N.: Approximations of the mean waiting time in an M/G/s queueing system. Operations Research 27, 1115-1127 (1979)
2. Hokstad, P.: Approximations for the M/G/m queues. Operations Research 26, 510-523 (1978)
3. Kimura, T.: Diffusion approximation for an M/G/m queue. Operations Research 31, 304-321 (1983)
4. Kleinrock, L.: Queueing Systems. Theory, vol. 1. Wiley-Interscience, Hoboken (1975)
5. Ma, B.N.W., Mark, J.W.: Approximation of the mean queue length of an M/G/c queueing system. Operations Research 43, 158-165 (1998)
6. Maplesoft, Inc. Maple 13. Waterloo, ON, Canada (2009)
7. Miyazawa, M.: Approximation of the queue-length distribution of an M/GI/s queue by the basic equations. J. Applied Probability 23, 443-458 (1986)
8. Nozaki, S.A., Ross, S.M.: Approximations in finite-capacity multi-server queues with poisson arrivals. J. Applied Probability 15, 826-834 (1978)
9. Page, E.: Tables of waiting times for M/M/n, M/D/n and D/M/n and their use to give approximate waiting times in more general queues. J. Operational Research Society 33, 453-473 (1982)
10. RSoft Design. Artifex v.4.4.2. RSoft Design Group, Inc., San Jose, CA (2003)
11. Searchcloudcomputing. techtarget. com. Cloud computing definition (2010), http://searchcloudcomputing.techtarget.com/sDefinition/ 0, sid201 gci128 7881,00.html
12. Takagi, H.: Queuing Analysis. Vacation and Priority Systems, part 1, vol. 1. Elsevier Science Publisher B.V., Amsterdam (1991)
13. Takahashi, Y.: An approximation formula for the mean waiting time of an M/G/c queue. J. Operational Research Society 20, 150-163 (1977)
14. Tijms, H.C., Hoorn, M.H.V., Federgru, A.: Approximations for the steady-state probabilities in the M/G/c queue. Advances in Applied Probability 13, 186-206 (1981)
15. Vaquero, L., Rodero-Merino, L., Caceres, J., Lindner, M.: A break in the clouds: towards a cloud definition. ACM SIGCOMM Computer Communication Review, 39(1) (2009)
16. Wang, L., Laszewski, G.V., Younge, A., He, X., Kunze, M., Tao, J., Fu, C.: Cloud computing: a perspective study. New Generation Computing 28, 137-146 (2010)
17. Xiong, K., Perros, H.: Service performance and analysis in cloud computing, Los Alamitos, CA, USA, pp. 693-700 (2009)
18. Yang, B., Tan, F., Dai, Y., Guo, S.: Performance evaluation of cloud service considering fault recovery. In: Jaatun, M.G., Zhao, G., Rong, C. (eds.) Cloud Computing. LNCS, vol. 5931, pp. 571-576. Springer, Heidelberg (2009)
19. Yao, D.D.: Refining the diffusion approximation for the M/G/m queue. Operations Research 33, 1266-1277 (1985)
20. Yigitbasi, N., Iosup, A., Epema, D., Ostermann, S.: C-meter: A framework for performance analysis of computing clouds. In: CCGRID 2009: Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, Washington, DC, USA, pp. 472-477 (2009)