Executing data-intensive workloads in a cloud

Proceedings - 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2012

Volumn , Issue , 2012, Pages 758-763

  Mian, Rizwan ^a   Martin, Patrick ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

cloud computing; data intensive computing; workload management

Indexed keywords

COMPUTING PARADIGM; DATA-INTENSIVE COMPUTING; DATA-INTENSIVE WORKLOADS; DOCTORAL RESEARCH; MANAGEMENT FUNCTIONS; RESOURCE PROVISIONING; WORKLOAD EXECUTION; WORKLOAD MANAGEMENT;

CLOUD COMPUTING; SCHEDULING;

GRID COMPUTING;

EID: 84863686383     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCGrid.2012.18     Document Type: Conference Paper

References (24)

1. Amazon, "Elastic Compute Cloud (EC2),"http://aws.amazon.com/ ec2/.
2. "Google App engine," http://code.google.com/intl/de-DE/ appengine/.
3. I. Raicu, I. Foster, A. Szalay and G. Turcu, "AstroPortal: A Science Gateway for Large-scale Astronomy Data Analysis," Proc. TeraGrid Conference, 2006.
4. F. Desprez and A. Vernois, "Simultaneous Scheduling of Replication and Computation for Data-Intensive Applications on the Grid,"Journal of Grid Computing, vol. 4, no. 1, 2006, pp. 19-31.
5. D. Dewitt and J. Gray, "Parallel database systems. The future of high performance database systems," Communications of the ACM, vol. 35, no. 6, 1992, pp. 85-98.
6. J. Dean and S. Ghemawat, "MapReduce: simplified data processing on large clusters," Communications of the ACM, vol. 51, no. 1, 2008, pp. 107-113.
7. R. Mian, P. Martin, A. Brown and M. Zhang, "Managing Data-Intensive Workloads in a Cloud," Grid and Cloud Database Management, G. Aloisio and S. Fiore, eds., Springer, 2011.
8. R. Mian, Managing Data-Intensive Workloads in a Cloud (Ph.D. Depth Paper), 2011-581, P. Martin, School of Computing, Queen's University, http://research.cs.queensu.ca/TechReports/Reports/2011-581.pdf, 2011.
9. R. Mian, P. Martin and J.L. Vazquez-Poletti, "Provisioning data analytic workloads in a cloud," Future Generation Computer Systems (FGCS), 2011, pp. in press.
10. A. Abouzeid, K. Bajda-Pawlikowski, D. Abadi, A. Silberschatz and S.A. Rasin, "HadoopDB: an architectural hybrid of MapReduce and DBMS technologies for analytical workloads," Proc. VLDB Endow., vol. 2, no. 1, 2009, pp. 922-933.
11. Amazon, "Elastic MapReduce,"http://aws.amazon.com/ elasticmapreduce/.
12. M. Armbrust, et al., "A view of cloud computing," Commun. ACM, vol. 53, no. 4, 2010, pp. 50-58; DOI 10.1145/1721654.1721672.
13. D.J. Abadi, "Data Management in the Cloud: Limitations and Opportunities.," IEEE Data Eng. Bull., vol. 32, no. 1, 2009, pp. 3-12.
14. H. Zhang, G. Jiang, K. Yoshihira, H. Chen and A. Saxena, "Resilient workload manager: Taming bursty workload of scaling internet applications," Proc. 6th International Conference on Autonomic Computing, ICAC'09, Association for Computing Machinery, 2009, pp. 19-28.
15. I. Raicu, Y. Zhao, C. Dumitrescu, I. Foster and M. Wilde, "Falkon: a Fast and Light-weight tasK executiON framework," Book Falkon: a Fast and Light-weight tasK executiON framework, Series Falkon: a Fast and Light-weight tasK executiON framework, ed., Editor ed.∧eds., ACM, 2007, pp.
16. E. Walker, J.P. Gardner, V. Litvin and E.L. Turner, "Creating personal adaptive clusters for managing scientific jobs in a distributed computing environment," Inst. of Elec. and Elec. Eng. Computer Society, 2006, pp. 95-103.
17. H. El-Rewini, T.G. Lewis and H.H. Ali, Task scheduling in parallel and distributed systems, Prentice-Hall, Inc., 1994, p. 290.
18. "TPC-H Benchmark (Decision Support),"http://www.tpc.org/tpch/.
19. S. Tozer, T. Brecht and A. Aboulnaga, "Q-Cop: Avoiding bad query mixes to minimize client timeouts under heavy loads," Proc. Data Engineering (ICDE), 2010 IEEE 26th International Conference on, IEEE, 2010, pp. 397-408.
20. M.B. Sheikh, et al., "A bayesian approach to online performance modeling for database appliances using gaussian models,"Book A bayesian approach to online performance modeling for database appliances using gaussian models, Series A bayesian approach to online performance modeling for database appliances using gaussian models, ed., Editor ed.∧eds., ACM, 2011, pp. 121-130.
21. B.F. Cooper, A. Silberstein, E. Tam, R. Ramakrishnan and R. Sears, "Benchmarking cloud serving systems with YCSB," Proc. 1st ACM Symposium on Cloud Computing, SoCC '10, June 6, 2010 - June 11, 2010, Association for Computing Machinery, 2010, pp. 143-154.
22. P. Massa and P. Avesani, "Controversial users demand local trust metrics: An experimental study on Epinions.com community," Proc. 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05, American Association for Artificial Intelligence, 2005, pp. 121-126.
23. "TPC-C Benchmark," http://www.tpc.org/tpcc/.
24. "TPC-E Benchmark," http://www.tpc.org/tpce/.