Lightweight Virtualization Cluster How to Overcome Cloud Vendor Lock-In

Nane Kratzke^*

Department for Electrical Engineering and Computer Science, Center of Excellence CoSA, Lübeck University of Applied Sciences, Lübeck, Germany.

DOI: 10.4236/jcc.2014.212001                

Abstract

To overcome vendor lock-in obstacles in public cloud computing, the capability to define transferable cloud-based services is crucial but has not yet been solved satisfactorily. This is especially true for small and medium sized enterprises being typically not able to operate a vast staff of cloud service and IT experts. Actual state of the art cloud service design does not systematically deal with how to define, deploy and operate cross-platform capable cloud services. This is mainly due to inherent complexity of the field and differences in details between a plenty of existing public and private cloud infrastructures. One way to handle this complexity is to restrict cloud service design to a common subset of commodity features provided by existing public and private cloud infrastructures. Nevertheless these restrictions raise new service design questions and have to be answered in ongoing research in a pragmatic manner regarding the limited IT-operation capabilities of small and medium sized enterprises. By simplifying and harmonizing the use of cloud infrastructures using lightweight virtualization approaches, the transfer of cloud deployments between a variety of cloud service providers will become possible. This article will discuss several aspects like high availability, secure communication, elastic service design, transferability of services and formal descriptions of service deployments which have to be addressed and are investigated by our ongoing research.

Keywords

Cloud Computing, Vendor Lock-In, Cross-Platform, Lightweight Virtualization, Container

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Barr, J. (2010) Host Your Web Site in the Cloud: Amazon Web Services Mad Easy. Sitepoint.
[2]	Kratzke, N. (2012) Cloud Computing Costs and Benefits—An IT Management Point of View. In: Ivanov, I., van Sinderen, M. and Shiskov, B., Eds., Cloud Computing and Services Sciences, Springer, New York, 185-203.
[3]	Kratzke, N. (2011) Overcoming Ex Ante Cost Intransparency of Clouds—Using System Analogies and a Corresponding Cost Estimation Model. CLOSER 2011—1st International Conference on Cloud Computing and Services Science (Special Session on Business Systems and Aligned IT Services—BITS 2011), Noordwijkerhout, 7-9 May 2011, 707-716.
[4]	Satzger, B., Hummer, W., Inzinger, C., Leitner, P. and Dustdar, S. (2013) Winds of Change: From Vendor Lock-In to the Meta Cloud. Internet Computing, IEEE, 17, 69-73.
[5]	Amazon Web Services (2014) Whitepaper “Overview of Amazon Web Services”.
[6]	DMTF, CIMI (Cloud Infrastructure Management Interface) (2014) Last Access 30th June 2014.
[7]	Fog.io (The Ruby Cloud Services Library) (2014) Last Access 30th June 2014. http://fog.io
[8]	de Alfonso, C., Caballer, M., Alvarruiz, F., Molto, G. and Hernandez, V. (2011) Infrastructure Deployment over the Cloud. Proceedings of 2011 IEEE 3rd International Conference on Cloud Computing Technology and Science (Cloud-Com), Athens, 29 November- 1 December 2011, 517-521.
[9]	Juve, G. and Deelman, E. (2011) Automating Application Deployment in Infrastructure Clouds. Proceedings of 2011 IEEE 3rd International Conference on Cloud Computing Technology and Science (CloudCom), Athens, 29 November- 1 December 2011, 658-665.
[10]	Lenk, A., Danschel, C., Klems, M., Bermbach, D. and Kurze, T. (2011) Requirements for an IaaS Deployment Language in Federated Clouds. Proceedings of SOCA, Irvine, 12-14 December 2011, 1-4.
[11]	Murphy, S., Gallant, S., Gaughan, C. and Diego, M. (2012) U.S. Army Modeling and Simulation Executable Architecture Deployment Cloud Virtualization Strategy. 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Ottawa, 13-16 May 2012, 880-885.
[12]	Merkel, D. (2014) Docker: Lightweight Linux Containers for Consistent Development and Deployment. Linux Journal, 2014, No. 2.
[13]	Talukader, A.K., Zimmermann, L. and Prahalad, H. (2010) Cloud Economics: Principles, Costs and Benefits. Cloud Computing—Computer Communications and Networks, 4, 343-360.