Economic model of a Cloud provider operating in a federated Cloud

被引:67
作者
Goiri, Inigo [1 ,2 ]
Guitart, Jordi [1 ,2 ]
Torres, Jordi [1 ,2 ]
机构
[1] Univ Politecn Cataluna, ES-08034 Barcelona, Spain
[2] Barcelona Supercomp Ctr, Barcelona 08034, Spain
关键词
Cloud provider; Profit; Outsourcing; Federation; GRIDS;
D O I
10.1007/s10796-011-9325-x
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Resource provisioning in Cloud providers is a challenge because of the high variability of load over time. On the one hand, the providers can serve most of the requests owning only a restricted amount of resources, but this forces to reject customers during peak hours. On the other hand, valley hours incur in under-utilization of the resources, which forces the providers to increase their prices to be profitable. Federation overcomes these limitations and allows providers to dynamically outsource resources to others in response to demand variations. Furthermore, it allows providers with underused resources to rent them to other providers. Both techniques make the provider getting more profit when used adequately. Federation of Cloud providers requires having a clear understanding of the consequences of each decision. In this paper, we present a characterization of providers operating in a federated Cloud which helps to choose the most convenient decision depending on the environment conditions. These include when to outsource to other providers, rent free resources to other providers (i.e., insourcing), or turn off unused nodes to save power. We characterize these decisions as a function of several parameters and implement a federated provider that uses this characterization to exploit federation. Finally, we evaluate the profitability of using these techniques using the data from a real provider.
引用
收藏
页码:827 / 843
页数:17
相关论文
共 27 条
[1]  
[Anonymous], P 20 JORN PAR JP 200
[2]  
[Anonymous], 2006, DOLLARS PER KW PLUS
[3]  
[Anonymous], 2009, The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines
[4]   A View of Cloud Computing [J].
Armbrust, Michael ;
Fox, Armando ;
Griffith, Rean ;
Joseph, Anthony D. ;
Katz, Randy ;
Konwinski, Andy ;
Lee, Gunho ;
Patterson, David ;
Rabkin, Ariel ;
Stoica, Ion ;
Zaharia, Matei .
COMMUNICATIONS OF THE ACM, 2010, 53 (04) :50-58
[5]  
Belady Christian., 2007, Green grid data center power efficiency metrics: PUE and DCiE
[6]  
Boghosian B, 2007, CLUSTER COMPUT, V10, P351, DOI 10.1007/s10586-007-0029-4
[7]   Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility [J].
Buyya, Rajkumar ;
Yeo, Chee Shin ;
Venugopal, Srikumar ;
Broberg, James ;
Brandic, Ivona .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2009, 25 (06) :599-616
[8]  
Campbell R., 2009, USENIX WORKSH HOT TO
[9]  
CHU XC, 2007, IEEE, P151, DOI DOI 10.1109/E-SCIENCE.2007.44
[10]  
Ejarque Jorge, 2008, 2008 IEEE Fourth International Conference on eScience, P8, DOI 10.1109/eScience.2008.15