More for your money: Exploiting performance heterogeneity in public clouds

Proceedings of the 3rd ACM Symposium on Cloud Computing, SoCC 2012

Volumn , Issue , 2012, Pages

  Farley, Benjamin ^a   Varadarajan, Venkatanathan ^a   Bowers, Kevin D ^b   Juels, Ari ^b   Ristenpart, Thomas ^a   Swift, Michael M ^a  

^a UNIVERSITY OF WISCONSIN   (United States)

^b RSA Laboratories   (United States)

Author keywords

Cloud computing; Heterogeneity; Virtual machine migration

Indexed keywords

AMAZON EC2; CLOUD PROVIDERS; FORMAL MODEL; HARDWARE DIFFERENCES; HETEROGENEITY; MEASUREMENT STUDY; PERFORMANCE IMPROVEMENTS; PLACEMENT STRATEGY; STORAGE PERFORMANCE; VIRTUAL MACHINES;

COMPUTER SIMULATION;

CLOUD COMPUTING;

EID: 85081774739     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2391229.2391249     Document Type: Conference Paper

References (41)

1. Amazon Ltd. Amazon elastic compute cloud (EC2). http://aws.amazon.com/ ec2/.
2. Amazon Web Services. Amazon EC2 instance types. http://aws.amazon.com/ ec2/instance-types/.
3. Amazon Web Services. Amazon Elastic Block Store (EBS). http://aws.amazon.com/ebs/.
4. Apache Software Foundation. ab - apache http server benchmarking tool. http://httpd.apache.org/docs/2.0/programs/ab.html.
5. Apache Software Foundation. Apache HTTP server project. http://httpd.apache.org/.
6. Manjari Asawa and Demosthenis Teneketzis. Multi-armed bandits with switching penalties. IEEE Transactions on Automatic Control, 41(3), March 1996.
7. Sean Kenneth Barker and Prashant Shenoy. Empirical evaluation of latency-sensitive application performance in the cloud. In MMsys, pages 35-46, 2010.
8. Russker Coker. Bonnie++ benchmark version 1.03e. http://www.coker.com.au/ bonnie++/, 2008.
9. Jiang Dejun, Guillaume Pierre, and Chi-Hung Chi. Ec2 performance analysis for resource provisioning of service-oriented applications. In Proceedings of the 2009 international conference on Service-oriented computing, pages 197-207, 2009.
10. Jiang Dejun, Guillaume Pierre, and Chi-Hung Chi. Resource provisioning of web applications in heterogeneous clouds. In Proceedings of the 2nd USENIX conference on Web application development, pages 5-5, 2011.
11. Diwaker Gupta, Ludmila Cherkasova, Rob Gardner, and Amin Vahdat. Enforcing performance isolation across virtual machines in xen. In Middleware, 2006.
12. J. L. Henning. Spec cpu2006 benchmark descriptions. In SIGARCH Computer Architecture News, 2006.
13. Alexandru Iosup, Nezih Yigitbasi, and Dick H. J. Epema. On the performance variability of production cloud services. In 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), pages 104-113, 2011.
14. Aamer Jaleel, Hashem H. Najaf-abadi, Samantika Subramaniam, Simon C. Steely, and Joel Emer. Cruise: cache replacement and utility-aware scheduling. In ASPLOS, 2012.
15. Vivek Kale, Jayanta Mukherjee, and Indranil Gupta. Hadoopjitter: The ghost in the machine and how to tame it. http://hdl.handle.net/2142/17084, 2010.
16. Yaakoub El Khamra, Hyunjoo Kim, Shantenu Jha, and Manish Parashar. Exploring the performance fluctuations of hpc workloads on clouds. In CloudCom, pages 383-387, 2010.
17. Dan Klein, Joseph Smarr, Huy Nguyen, and Christopher D. Manning. Named entity recognition with character-level models. In Proceedings the Seventh Conference on Natural Language Learning, pages 180-183, 2003.
18. A. Li, X. Yang, S. Kandula, and M. Zhang. Cloudcmp: Comparing public cloud providers. In IMC, 2010.
19. Seung-Hwan Lim, Jae-Seok Huh, Youngjae Kim, and Chita R. Das. Migration, assignment, and scheduling of jobs in virtualized environment. In HotCloud, 2010.
20. Dave Mangot. EC2 variability: The numbers revealed. http://tech.mangot. com/roller/dave/entry/ec2/variability/the/numbers/re%vealed, May 2009.
21. Microsoft Corp. Windows azure: Pricing details. http://www.windowsazure. com/en-us/pricing/details/.
22. Zhonghong Ou, Hao Zhuang, Jukka K. Nurminen, Antti Ylä- Jääski, and Pan Hui. Exploiting hardware heterogeneity within the same instance type of amazon EC2. In 4th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), 2012.
23. R. S. Sutton and A. G. Barto. Reinforcement Learning: An Introduction. MIT Press, 1998.
24. Rackspace Inc. How we price cloud servers. http://www.rackspace.com/ cloud/cloud/hosting/products/servers/pricing/.
25. M.S. Rehman and M.F. Sakr. Initial findings for provisioning variation in cloud computing. In IEEE Second International Conference on Cloud Computing Technology and Science (CloudCom), pages 473-479, 2010.
26. T. Ristenpart, E. Tromer, H. Shacham, and S. Savage. Hey, you, get off my cloud: exploring information leakage in third party compute clouds. In CCS, 2009.
27. Juan Carlos Saez, Manuel Prieto, Alexandra Fedorova, and Sergey Blagodurov. A comprehensive scheduler for asymmetric multicore systems. In Proc. EuroSys, 2010.
28. Jorg Schad, Jens Dittrich, and Jorge-Arnulfo Quiané-Ruiz. Runtime measurements in the cloud: Observing, analyzing, and reducing variance. In VLDB, September 2010.
29. Malte Schwarzkopf, Derek G. Murray, and Steven Hand. The seven deadly sins of cloud computing research. In HotCloud, June 2012.
30. Burr Settles. Biomedical named entity recognition using conditional random fields and rich feature sets. In NLPBA, 2004.
31. Alan Shieh, Srikanth Kandula, Albert Greenberg, and Changhoon Kim. Seawall: Performance isolation for cloud datacenter networks. In HotCloud, 2010.
32. The Stanford Natural Language Processing Group. Stanford named entity recognizer (NER) version 1.2.4. http://nlp.stanford.edu/software/CRF-NER.shtml, 2012.
33. A. Tirumala, F. Qin, J Dugan, J. Ferguson, and K. Gibbs. Iperf: The TCP/UDP bandwidth measurement tool, version 2.0.5. http://sourceforge.net/ projects/iperf/, 2010.
34. Guohui Wang and T. S. Eugene Ng. The impact of virtualization on network performance of amazon EC2 data center. In IEEE INFOCOM, 2010.
35. P. Whittle. Sequential scheduling and the multi-armed bandit, chapter 14. In Optimization over Time-Dynamic Programming and Stechastic Control. vol. 1, pages 210-219. John Wiley and Sons Ltd., 1982.
36. Wikipedia. Markov decision process. http://en.wikipedia.org/wiki/Markov/ decision/process.
37. J. Xie, S. Yin, X.-J. Ruan, Z.-Y. Ding, Y. Tian, J. Majors, and X. Qin. Improving MapReduce performance via data placement in heterogeneous Hadoop Clusters. In Proc. 19th Int'l Heterogeneity in Computing Workshop, April 2010.
38. Jun-Ming Xu, Kwang-Sung Jun, Xiaojin Zhu, and Amy Bellmore. Learning from bullying traces in social media. In NAACL HLT, 2012.
39. Sungkap Yeo and Hsien-Hsin S. Lee. Using mathematical modeling in provisioning a heterogeneous cloud computing environment. IEEE Computer, 44(8), August 2011.
40. Matei Zaharia, Andy Konwinski, Anthony D. Joseph, Randy Katz, and Ion Stoica. Improving mapreduce performance in heterogeneous environments. In OSDI, pages 29-42, 2008.
41. Ce Zhang, Feng Niu, Christopher Ré, and Jude Shavlik. Big data versus the crowd: Looking for relationships in all the right places. In ACL, 2012.