Ijctt v8p124

International Journal of Computer Trends and Technology (IJCTT) – volume 8 number 3– Feb 2014

Novel Design and Implementation of Topology and Orchestration Specification for Cloud Applications to enable Portability 1

2

K.Vikram Reddy1, N.Naveen Kumar2

M.Tech CS Student, SIT, JNTU Hyderabad A.P. India Assistant Professor, CSE, SIT, JNTU Hyderabad, A.P. India

ABSTRACT: In this paper we provide a novel design and implementation of toplogy and orchestration specification for cloud applications to enable portability Keywords –Topology, Orchestration, Cloud Applications, Portability I.

System Analysis Design Model

Figure 1 below provides the novel design and implementation case study of our application.

Fig 2 : Sequence diagram Figure 2 above provides sequence diagram of the proposed model.

Figure 3 below provides class diagram of the proposed model.

Fig 1 : Usecase diagram

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International Journal of Computer Trends and Technology (IJCTT) – volume 8 number 3– Feb 2014

Fig 3 : class diagram

embedded into the DWT coefficients of the image.

The most commonly used detector for these watermarking schemes is the correlation detector which is optimal only if the data samples follow the Gaussian distribution function. Since the DWT coefficients of an image are non-Gaussian, such a Gaussian detector is neither optimal nor robust. In order to obtain an optimal detector that is also robust, an appropriate approach is to treat the watermark detection as a statistical detection problem, wherein a binary hypothesis test is formulated using a more accurate probability density function (PDF) of the DWT coefficients of the image. Various types of binary hypothesis testing have been used for image watermark detection, and some of these are the Bayesian loglikelihood ratio test, locally most powerful test and Rao test. The choice of the test depends on various factors, such as the number of data samples, availability and mathematical tractability of the prior function, and strength of the watermark signal. The Bayesian log-likelihood ratio test shows an asymptotically optimal performance that is equivalent to that of the Rao test, when the number of data samples is large, the prior probability distribution function of the signal is known, and the signal to be detected is weak.

REFERENCES

Fig 4 : Screen shot of application

[1] F. Leymann et al., “Moving Applications to the Cloud: An Approach Based on Application Model Enrichment,” Int’l J.Cooperative Information Systems, vol. 20,no. 3, 2011, pp.

307–356.

[2] T. Binz, F. Leymann, and D. Schumm “CMotion: A Framework for Migration of Applications into and between Clouds,” Proc. Int’l Conf. Service-Oriented Computing and Applications, IEEE Press, 2012, pp. 1–4.

[3] Topology and Orchestration Specification for Cloud Applications (TOSCA), OASIS specif ication, Oct. 2011; www. oasis-open.org/commit tees/tc_home.

[4] M. Behrendt et al., “IBM Cloud Computing Reference Architecture,” Open Group submission, Feb. 2011; www.opengroup. org/cloudcomputing/uploads/40/23840/ CCRA.IBMSubmission.02282011.doc.

[5] G. Breiter and M. Behrendt, “Lifecycle and Characteristics of Services in the World of Cloud Computing,” IBM J. Research and Development, vol. 53, no. 4, 2009, pp. 3:1–3:8.

[6] Business Process Model and Notation (BPMN) Version 2.0, Object Management Group specification, Jan. 2011.

[7] Web Services Business Process Execution Language (BPEL) Version 2.0., OASIS specification, 2007.

CONCLUSION Future Enhancement: water marking: An appreciable number of watermarking schemes have been developed, wherein the watermark is

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