Abstract
Cloud Computing has caught the fancy of the research community, big technology companies, application developers and consumers with its promise of on-demand computing and an intuitive service delivery model. While large corporations like Google have invested in creating their million-server warehouses to cater to the tremendous expected demand for cloud resources, smaller service providers may not have enough resources to cater to the “elasticity” inherent in the cloud model. The ability to dynamically provision resources in the face of a volatile resource requests is one of the key performance indicators for cloud service providers and remains a challenge. It is always theoretically possible that the resource requirement exceeds the physically available resources, especially when flash-crowd scenarios are factored in. Catering to peak expected resource requirements by provisioning surplus resources is not a cost-effective strategy especially for smaller cloud service providers. This paper proposes the C2C framework or the Cloud-to-Cloud network of cloud service providers; a shared ecosystem of pooled compute resources. Resource requests which cannot be provisioned from within the dedicated resources of the service provider can be met from the shared pool of C2C resources in a seamless manner. Simulation shows that the proposed framework effectively meets volatile resource requirements, allowing cloud service providers to scale effectively.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Mell, P., Grance, T.: NIST working definition of Cloud Computing - v15 (July 2009), http://csrc.nist.gov/groups/SNS/cloud-computing/cloud-def-v15.doc
Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R.H., Konwinski, A., Lee, G., Patterson, D.A., Rabkin, A., Stoica, I., Zaharia, M.: Above the Clouds: A Berkeley View of Cloud Computing. University of California, Berkeley, Technical Report, http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.pdf
Wikipedia definition of the Intercloud, http://en.wikipedia.org/wiki/Intercloud (accessed March 03, 2011)
Celesti, A., Tusa, F., Villari, M., Puliafito, A.: How to Enhance Cloud Architectures to Enable Cross-Federation. In: IEEE 3rd International Conference on Cloud Computing, pp. 337–345 (2010)
Bernstein, D., Ludvigson, E., Sankar, K., Diamond, S., Morrow, M.: Blueprint for the Intercloud - Protocols and Formats for Cloud Computing Interoperability, pp. 328–336. IEEE Computer Society, Los Alamitos
Buyya, R., Ranjan, R., Calheiros, R.: InterCloud: Scaling of Applications across multiple Cloud Computing Environments. In: Proceedings of the 10th International Conference on Algorithms and Architectures for Parallel Processing (2010)
Andrzejak, A., Kondo, D., Anderson, D.P.: Ensuring collective availability in volatile resource pools via forecasting. In: 19th IFIP/IEEE Distributed System: Operations and Management (September 2008)
Vijayakumar, S., Zhu, Q., Agrawal, G.: Dynamic Resource Provisioning for Data Streaming Applications in a Cloud Environment. In: 2010 IEEE Second International Conference on Cloud Computing Technology and Science, pp. 441–444 (2010)
Amazon Elastic Cloud Compute (EC2), http://aws.amazon.com/ec2 (accessed March 01, 2011)
Google AppEngine, http://code.google.com/appengine (accessed March 01, 2011)
Microsoft Azure, http://microsoft.com/windowsazure/ (accessed March 01, 2011)
Cloud Computing Interoperability Forum, www.cloudforum.org/ (accessed March 06, 2011)
Juxtapose (JXTA) Home Page, http://java.net/projects/jxta/ (accessed March 07, 2011)
Winter, R., Zahn, T., Schiller, J.: Random Landmarking in Mobile, Topology-Aware Peer-To-Peer Networks. In: IEEE Workshop on Future Trends of Distributed Computing Systems, pp. 319–324 (2004)
Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, C.A.F., Buyya, R.: CloudSim: A Toolkit for Modeling and Simulation of Cloud Computing Environments and Evaluation of Resource Provisioning Algorithms. Software: Practice and Experience 41(1), 23–50 (2011) ISSN: 0038-0644
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gupta, A., Kapoor, L., Wattal, M. (2011). C2C (Cloud-to-Cloud): An Ecosystem of Cloud Service Providers for Dynamic Resource Provisioning. In: Abraham, A., Lloret Mauri, J., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22709-7_49
Download citation
DOI: https://doi.org/10.1007/978-3-642-22709-7_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22708-0
Online ISBN: 978-3-642-22709-7
eBook Packages: Computer ScienceComputer Science (R0)