Abstract
Managing services in an intercloud environment is challenging since it requires large scale orchestration between users, service providers and heterogeneous cloud service providers. Each stakeholder in the intercloud services ecosystem needs to optimize their cost to performance ratio which is not trivial. This research paper proposes a dynamic service ranking and selection mechanism which allows users fine-grained control over service consumption, while maximizing service provider revenues. The mechanism is based on service performance analytics and provides seamless orchestration between all stakeholders. Initial experimental results establish the viability of the proposed mechanism.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Petcu, D., Macariu, G., Panica, S., Crăciun, C.: Portable Cloud applications—From theory to practice. Future Generation Computer Systems 29, 1417–1430 (2013)
Gupta, A., Kapoor, L., Wattal, M.: 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.) ACC 2011, Part I. CCIS, vol. 190, pp. 501–510. Springer, Heidelberg (2011)
Chandra, K.: The AppScale Cloud Platform: Enabling Portable, Scalable Web Application deployment. Internet Computing 17(2), 72–75 (2013)
Cloud computing brokers: a resource guide (December 2013), http://www.datacenterknowledge.com/archives/2010/01/22/cloudcomputingbrokers-a-resource-guide/
Kapoor, L., Bawa, S., Gupta, A.: Hierarchical Chord based Resource Discovery in Intercloud Environment. In: UCC 2013, pp. 464–469. ACM (2013)
https://www.tmforum.org/InterCloudService/8480/home.html (accessed 5, December 2013)
http://www.sbtpartners.com/_etc/managed_services_paradigm.pdf (accessed 1, November 2013)
RightScale home page, http://www.rightscale.com/ (accessed 10, December 2013)
Calheiros, R.N., Toosi, A.N., Vecchiola, C., Buyya, R.: A coordinator for scaling elastic applications across multiple clouds. Future Generation Computer Systems 28, 1350–1362 (2012)
Garg, S.K., Versteegb, S., Buyya, R.: A framework for ranking of cloud computing services. Future Generation Computer Systems 29(4), 1012–1023 (2013)
http://www.cloudcommons.com/about-smi (accessed 1, November 2013)
Amazon EC2 home page, http://aws.amazon.com/ec2/
Gogrid home page, http://www.gogrid.com/
L-Sumarro, J.L., Moreno, R., Montero, R.S., Llorente, I.M.: Scheduling strategies for optimal service deployment across multiple clouds. Future Generation Computer System 29, 1431–1441 (2013)
Outbound Ping on Azure VM, http://social.msdn.microsoft.com/Forums/windowsazure/en-US/e9e53e84-a978-46f5-a657-f31da7e4bbe1/icmp-outbound-ping-on-azure-vm?forum=WAVirtualMachinesforWindows
Whu, Z., Madhyastha, H.V.: Understanding latency benefits of multi-cloud Web-services deployments. ACM SIGCOMM Computer Communication Review 43(2), 13–20 (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kapoor, L., Bawa, S., Gupta, A. (2014). A Novel Mechanism for Dynamic Optimization of Intercloud Services. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Workshops. OTM 2014. Lecture Notes in Computer Science, vol 8842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45550-0_38
Download citation
DOI: https://doi.org/10.1007/978-3-662-45550-0_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45549-4
Online ISBN: 978-3-662-45550-0
eBook Packages: Computer ScienceComputer Science (R0)