On the effect of using third-party clouds for maximizing profit

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6081 LNCS, Issue PART 1, 2010, Pages 381-390

  Lee, Young Choon ^a   Wang, Chen ^b   Taheri, Javid ^a   Zomaya, Albert Y ^a   Zhou, Bing Bing ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

^b CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLIENT SATISFACTION; CLOUD SERVICES; COMPUTING SYSTEM; REQUEST SCHEDULING; SERVICE OFFERING; SERVICE REQUESTS; VIRTUAL MACHINES;

ALGORITHMS; COMPUTER SIMULATION; DISTRIBUTED DATABASE SYSTEMS; PARALLEL PROCESSING SYSTEMS; PROFITABILITY; QUALITY OF SERVICE;

CLOUD COMPUTING;

EID: 79956274070     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13119-6_33     Document Type: Conference Paper

References (18)

1. Salesforce.com, http://www.salesforce.com.
2. Microsoft Azure Platform, http://www.microsoft.com/windowsazure/.
3. Google App Engine, http://code.google.com/appengine/.
4. Amazon Elastic Compute Cloud, http://aws.amazon.com/ec2/.
5. Amazon Simple Storage Services, http://aws.amazon.com/s3/.
6. Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R.H., Konwinski, A., Lee, G., Patterson, D.A., Rabkin, A., Stoica, I., Zahariam, M.: Above the clouds: A Berkeley view of Cloud computing, Technical report UCB/EECS-2009-28, Electrical Engineering and Computer Sciences, University of California at Berkeley, USA (2009).
7. Vaquero, L.M., Rodero-Merino, L., Caceres, J., Lindner, M.: A break in the clouds: towards a cloud definition. ACM SIGCOMM Computer Comm. Review 39(1), 50-55 (2009).
8. Chase, J.S., Anderson, D.C., Thakar, P.N., Vahdat, A.M., Doyle, R.P.: Managing Energy and Server Resources in Hosting Centers. In: Proc. 18th ACM symp. Operating systems principles (SOSP 2001), Banff, Canada, pp. 103-116 (2001). (Pubitemid 33612608)
9. Urgaonkar, B., Shenoy, P., Roscoe, T.: Resource Overbooking and application profiling in shared hosting platforms. In: Proc. 5th Symp. Operating Systems Design and Implementation (OSDI 2002), Boston, MA, USA, pp. 239-254 (2002).
10. Chun, B.N., Culler, D.E.: Market-based proportional resource sharing for clusters, Technical Report CSD-1092, University of California at Berkeley (2000).
11. Ferguson, D.F.: The application of microeconomics to the design of resource allocation and control algorithms, PhD thesis, Columbia University (1989).
12. Kurose, J.F., Simha, R.: A microeconomic approach to optimal resource allocation in distributed computer systems. IEEE Trans. on Computers 38(5), 705-717 (1989).
13. Lai, K., Rasmusson, L., Adar, E., Sorkin, S., Zhang, L., Huberman, B.A.: Tycoon: an Implementation of a Distributed, Market-based Resource Allocation System. Multiagent and Grid Systems 1(3), 169-182 (2005).
14. Yemini, Y.: Selfish optimization in computer networks. In: Proc. the 20th IEEE Conf. Decision and Control, pp. 281-285 (1981).
15. Popovici, F.I., Wilkes, J.: Profitable services in an uncertain world. In: Proc. the ACM/IEEE Int'l Conf. High Performance Networking and Computing, SC 2005 (2005).
16. Sherwani, J., Ali, N., Lotia, N., Hayat, Z., Buyya, R.: Libra: a computational economybased job scheduling system for clusters. Softw. Pract. Exper. 34, 573-590 (2004).
17. Chun, B.N., Culler, D.E.: User-centric performance analysis of market-based cluster batch schedulers. In: Proc. IEEE/ACM Int'l Symp. Cluster Computing and the Grid, pp. 30-38 (2002).
18. Irwin, D.E., Grit, L.E., Chase, J.S.: Balancing risk and reward in a market-based task service. In: Proc. IEEE Symp. High Performance Distributed Computing, pp. 160-169 (2004).