Autoelastic: Automatic resource elasticity for high performance applications in the cloud

IEEE Transactions on Cloud Computing

Volumn 4, Issue 1, 2016, Pages 6-19

  Da Rosa Righi, Rodrigo ^a   Rodrigues, Vinicius Facco ^a   Da Costa, Cristiano André ^a   Galante, Guilherme ^b   De Bona, Luis Carlos Erpen ^c   Ferreto, Tiago ^d  

^a UNIVERSIDADE DO VALE DO RIO DOS SINOS   (Brazil)

^b UNIVERSIDADE ESTADUAL DO OESTE DO PARANÁ   (Brazil)

^c FEDERAL UNIVERSITY OF PARANÁ   (Brazil)

^d PONTIFICAL CATHOLIC UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

Author keywords

Asynchronism; Cloud elasticity; High performance computing; Resource management; Self organizing

Indexed keywords

MIDDLEWARE; RECONFIGURABLE HARDWARE; RESOURCE ALLOCATION;

ASYNCHRONISM; CLOUD ELASTICITIES; HIGH PERFORMANCE COMPUTING; RESOURCE MANAGEMENT; SELF-ORGANIZING;

ELASTICITY;

EID: 84963865142     PISSN: None     EISSN: 21687161     Source Type: Journal    
DOI: 10.1109/TCC.2015.2424876     Document Type: Article

References (46)

1. W. Lin, J. Z. Wang, C. Liang, and D. Qi, "A threshold-based dynamic resource allocation scheme for cloud computing," Procedia Eng., vol. 23, pp. 695-703, 2011.
2. J. Duggan and M. Stonebraker, "Incremental elasticity for array databases," in Proc. 2014 ACM SIGMOD Int. Conf. Manag. Data, 2014, pp. 409-420.
3. P. Jamshidi, A. Ahmad, and C. Pahl, "Autonomic resource provisioning for cloud-based software," in Proc. 9th Int. Symp. Softw. Eng. Adaptive Self-Manag. Syst., 2014, pp. 95-104.
4. W. Dawoud, I. Takouna, and C. Meinel, "Elastic VM for cloud resources provisioning optimization," in Proc. Adv. Comput. Commun., 2011, pp. 431-445.
5. S. Imai, T. Chestna, and C. A. Varela, "Elastic scalable cloud computing using application-level migration," in Proc. Int. Conf. Utility Cloud Comput., 2012, pp. 91-98.
6. M. Mao, J. Li, and M. Humphrey, "Cloud auto-scaling with deadline and budget constraints," in Proc. 11th IEEE/ACM Int. Conf. Grid Comput., 2010, pp. 41-48.
7. R. Han, L. Guo, M. M. Ghanem, and Y. Guo, "Lightweight resource scaling for cloud applications," in Proc. IEEE Int. Symp. Cluster Comput. Grid, 2012, pp. 644-651.
8. A. Raveendran, T. Bicer, and G. Agrawal, "A framework for elastic execution of existing MPI programs," in Proc. Int. Symp. Parallel Dist. Process. Workshops PhD Forum, 2011, pp. 940-947.
9. G. Galante and L. C. E. d. Bona, "A survey on cloud computing elasticity," in Proc. Int. Conf. Utility Cloud Comput., 2012, pp. 263-270.
10. A. N. Toosi, R. N. Calheiros, and R. Buyya, "Interconnected cloud computing environments: Challenges, taxonomy, and survey," ACM Comput. Surv., vol. 47, no. 1, pp. 7:1-7:47, 2014.
11. D. Chiu and G. Agrawal, "Evaluating caching and storage options on the Amazon Web Services cloud," in Proc. , 2010 11th IEEE/ACM Int. Conf. Grid Comput., 2010, pp. 17 -24.
12. E. Lusk, "MPI-2: Standards beyond the message-passing model," in Proc. 3rd Working Conf. Massively Parallel Program. Models, 1997, pp. 43-49.
13. D. Rajan, A. Canino, J. A. Izaguirre, and D. Thain, "Converting a high performance application to an elastic cloud application," in Proc. Conf. Cloud Comput. Technol. Sci., 2011, pp. 383-390.
14. T. Knauth and C. Fetzer, "Scaling non-elastic applications using virtual machines," in Proc. IEEE Int. Conf. Cloud Comput., 2011, pp. 468-475.
15. K. Kumar, J. Feng, Y. Nimmagadda, and Y.-H. Lu, "Resource allocation for real-time tasks using cloud computing," in Proc. Int. Conf. Comp. Comm. Netw., 2011, pp. 1-7.
16. E. Michon, J. Gossa, and S. Genaud, "Free elasticity and free CPU power for scientific workloads on IaaS clouds," in Proc. Int. Conf. Parallel Distrib. Syst., 2012, pp. 85-92.
17. K. Jackson, L. Ramakrishnan, K. Muriki, S. Canon, S. Cholia, J. Shalf, H. J. Wasserman, and N. Wright,, "Performance analysis of high performance computing applications on the Amazon Web Services cloud," in Proc. Int. Conf. Cloud Comput. Technol. Sci., 2010, pp. 159-168.
18. B. Wilkinson and C. Allen, Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers. Englewood Cliffs, NJ, USA: Pearson/Prentice-Hall, 2005.
19. A. Tanenbaum, Computer Networks, 4th ed. Upper Saddle River, NJ, USA: Prentice-Hall, 2003.
20. D. Milojicic, I. M. Llorente, and R. S. Montero, "Opennebula: A cloud management tool," IEEE. Internet Comput., vol. 15, no. 2, pp. 11 -14, Mar./Apr. 2011.
21. U. Sharma, P. Shenoy, S. Sahu, and A. Shaikh, "A cost-aware elasticity provisioning system for the cloud," in Proc. 2011 Int. Conf. Distrib. Comput. Syst., 2011, pp. 559-570.
22. A. Lonea, D. Popescu, and O. Prostean,, "A survey of management interfaces for Eucalyptus cloud," in Proc. IEEE Symp. Appl. Comp. Intell. Inform., 2012, pp. 261-266.
23. E. Roloff, F. Birck, M. Diener, A. Carissimi, and P. Navaux, "Evaluating high performance computing on the Windows Azure platform," in Proc. IEEE 5th Int. Conf. Cloud Comput., 2012, pp. 803-810.
24. P. Marshall, K. Keahey, and T. Freeman, "Elastic Site: Using clouds to elastically extend site resources," in Proc. IEEE/ACM Int. Conf. Cluster, Cloud Grid Comput., 2010, pp. 43-52.
25. X. Wen, G. Gu, Q. Li, Y. Gao, and X. Zhang,, "Comparison of open-source cloud management platforms: Openstack and Opennebula," in Proc. 9th Int. Conf. Fuzzy Syst. Knowl. Discovery, 2012, pp. 2457-2461.
26. B. Cai, F. Xu, F. Ye, and W. Zhou, "Research and application of migrating legacy systems to the private cloud platform with Cloudstack," in Proc. IEEE Int. Conf. Autom. Logistics, 2012, pp. 400-404.
27. L. Surhone, M. Tennoe, and S. Henssonow, Rightscale. Saarbrcucken, Germany: VDM Publishing, 2010.
28. T. Fujii and M. Kimura, "Analysis results on productivity variation in Force.com applications," in Proc. 6th Int. Conf. Softw. Process Product Meas., 2011, pp. 314-317.
29. L. Fu and C. Gondi, "Cloud computing hosting," in Proc. 3rd IEEE Int. Conf. Comput. Sci. Inform. Technol., 2010, vol. 3, pp. 194-198.
30. R. Costa, F. Brasileiro, G. L. de Souza Filho, and D. M. Sousa, "Just in time clouds: Enabling highly-elastic public clouds over low scale amortized resources," Univ. Federal de Campina Grande, Campina Grande, Brazil, Tech. Rep., 2010.
31. Z. Shen, S. Subbiah, X. Gu, and J. Wilkes, "Cloudscale: Elastic resource scaling for multi-tenant cloud systems," in Proc. 2nd ACM Symp. Cloud Comput., 2011, pp. 5:1-5:14.
32. P. Martin, A. Brown, W. Powley, and J. L. Vazquez-Poletti, "Autonomic management of elastic services in the cloud," in Proc. IEEE Symp. Comput. Commun., 2011, pp. 135-140.
33. I. Moreno and J. Xu, "Customer-aware resource overallocation to improve energy efficiency in realtime cloud computing data centers," in Proc. IEEE Int. Conf. Service-Oriented Comput. Appl., Dec. 2011, pp. 1-8.
34. X. Zhang, Z.-Y. Shae, S. Zheng, and H. Jamjoom, "Virtual machine migration in an over-committed cloud," in Proc. Netw. Operat. Manag. Symp., 2012, pp. 196-203.
35. T. Wood, P. Shenoy, A. Venkataramani, and M. Yousif, "Black-box and gray-box strategies for virtual machine migration," in Proc. 4th USENIX Conf. Networked Syst. Design, 2007, pp. 17-23.
36. L. Beernaert, M. Matos, R. Vilaça, and R. Oliveira, "Automatic elasticity in openstack," in Proc. Workshop Secure Dependable Middleware Cloud Monitoring Manage., 2012, pp. 2:1-2:6.
37. N.-L. Tran, S. Skhiri, and E. Zimanyi, "EQS: An elastic and scalable message queue for the cloud," in Proc. IEEE 3rd Int. Conf. Cloud Comput. Technol. Sci., 2011, pp. 391-398.
38. B. Suleiman, "Elasticity economics of cloud-based applications," in Proc. Int. Conf. Services Comput., 2012, pp. 694-695.
39. X. Zhang, S. Jeong, A. Kunjithapatham, and S. Gibbs,, "Towards an elastic application model for augmenting computing capabilities of mobile platforms," in Proc. 3rd Int. Conf. Mobile Wireless Middleware, Operat. Syst. Appl., 2010, pp. 161-174.
40. R. Bryant, A. Tumanov, O. Irzak, A. Scannell, K. Joshi, M. Hiltunen, A. Lagar-Cavilla, and E. de Lara, "Kaleidoscope: Cloud micro-elasticity via VM state coloring," in Proc. Conf. Comput. Syst., 2011, pp. 273-286.
41. D. Kumar, Z.-Y. Shae, and H. Jamjoom, "Scheduling batch and heterogeneous jobs with runtime elasticity in a parallel processing environment," in Proc. IEEE 26th Int. Parallel Distrib. Process. Symp. Workshops PhD Forum, 2012, pp. 65-78.
42. S. Mariani, H.-L. Truong, G. Copil, A. Omicini, and S. Dustdar, "Coordination-aware elasticity," in Proc. 7th IEEE/ACM Int. Conf. Utility Cloud Comput., London, U.K., 2014, pp. 56-63.
43. S. Spinner, S. Kounev, X. Zhu, L. Lu, M. Uysal, A. Holler, and R. Griffith,, "Runtime vertical scaling of virtualized applications via online model estimation," in Proc. Int. Conf. Self-Adaptive Self-Org. Syst., 2014.
44. Y. Lee, R. Avizienis, A. Bishara, R. Xia, D. Lockhart, C. Batten, and K. Asanovic,, "Exploring the tradeoffs between programmability and efficiency in data-parallel accelerators," in Proc. 38th Annu. Int. Symp. Comput. Archit., 2011, pp. 129-140.
45. J. Baliga, R. Ayre, K. Hinton, and R. Tucker, "Green cloud computing: Balancing energy in processing, storage, and transport," Proc. IEEE, vol. 99, no. 1, pp. 149-167, Jan. 2011.
46. M. Comanescu,, "Implementation of time-varying observers used in direct field orientation of motor drives by trapezoidal integration," in Proc. 6th IET Int. Conf. Power Electron. Mach. Drives, 2012, pp. 1-6, 2012.