A Dynamic Framework to Enhance Quality of Service for Multimedia Real Time Transmission in Content Delivery Networks


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


Nowadays Content Delivery Networks (CDNs) have projected to increase the bandwidth, improve ease of access and maintain accuracy through replication. CDNs distributed the content to the nearest cache servers which are located nearest to the users, ensuing in fast, reliable applications of the users. The proposed framework focuses that to enable the quality of service analysis of web service methods for real time service provisioning (RTSP). The proposed model calculated the quality of service with the Non-functional properties of the various services. It is based on the respond to the client requirements under various constraints and to satisfy the client request. The proposed model contains the grading system to the services and ranking system to make the functionally – equivalent services. It is able to evaluate the quality of service of a service using an evaluation method that is independent of the context. The framework involves calculating the quality items with an aggregation of the non functional properties values of the service
Copyright © 2014 Praise Worthy Prize - All rights reserved.

Keywords


Real-Time Service Provisioning (RTSP); Content Delivery Networks; Quality of Service; Functional Properties; Non Functional Properties; Quality Items

Full Text:

PDF


References


Adaptive and dynamic service composition in eFlow. F. Casati, S. Ilnicki, L. Jin,V. Krishnamoorthy, and M.-C. Shan. Available from http://www.hpl.hp.com/techreports/2000/HPL-2000-39.html, accessed on 27 Dec. 2000, March 2000, Technical Report HPL-2000-39, Hewlett Packard Software Technology Laboratory. Metering and accounting for Web services. Eibach, D. Kuebler and W. Available from http://www.ibm.com/developerworks/library/ws-maws/?n-ws-7191, accessed on 31 July 2001+, July 2001.

Dynamic service aggregation in electronic marketplaces. Mokrushin, G. Piccinelli and L. Availablefrom http://www.hpl.hp.com/techreports/2001/HPL-2001-31.html, accessed on 04 April 2001, Bristol, England Feb. 2001, Technical Report Number 31, Hewlett Packard Laboratories.

J. O'sullivan, D. Edmond and A.T. Hofstede. What's in a service? Towards accurate description of non-functional service properties. s.l. : Distributed and Parallel Databases Journal, September 2002.

Distributed and Parallel Database, Special issue on Web Services. Casati, B. Benatallah and F. 2002, Springer-Verlag.

Rosenberg, Florian. QoS-Aware Composition of Adaptive Service-Oriented Systems. Wien : TU Wien, Mai 2009.

Non-functional requirements for information system design. Chung, L. 1991, Proceedings of the 3rd International Conference on Advanced Information Systems Engineering—CAiSE’91, Lecture Notes in Computer Science, Trodheim, Norway.

Javier Silvestre-Blanes, L. Almeida, R. Marau, and P. Pedreiras, “Online QoS Management for Multimedia Real-Time Transmission in Industrial Networks” IEEE Transactions On Industrial Electronics, Vol. 58, No. 3, March 2011.

Francesco Buccafurri, Pasquale De Meo, Gianluca Lax, and Domenico Ursino university Mediterranea of Reggio Calabria, Mariagrazia Fugini, Stefano Modafferi, and Barbara Pernici Politecnico di Milano, “A Framework for Using Web Services to Enhance QoS for Content Delivery” IEEE Transactions on Intelligent and pervasive Multimedia systems, 2010.

Stamos, Konstantinos, Pallis, George, Vakali, Athena, Katsaros, Dimitrios, Sidiropoulos, Antonis and Manolopoulos, Yannis (2010), "CDNsim: A simulation tool for content distribution networks", ACM Trans. Model. Comput. Simul., 20, 2: 1--40.

M. Pathan, R. Buyya, and A. Vakali, eds., Content delivery Networks, LNEE 9, Springer, 2008.

F. Buccafurri et al., ‘‘Analysis of QoS in Cooperative Services for Real Time Applications,’’ Data and Knowledge Engineering, vol. 67, no. 3, 2008, pp. 463 484.

D. Ardagna et al., ‘‘PAWS: A Framework for Processes with Adaptive Web Services,’’ IEEE Software, vol. 24, no. 6, 2007, pp. 39 46.

J. Sokol and K.P. Eckert, ‘‘MCDN: Multimedia Content Discovery and Delivery,’’ Proc. Int’l Symp. Autonomous Decentralized Systems, (ISADS), IEEE Press, 2007, pp. 411-420.

L. Ardissono et al., ‘‘Monitoring Choreographed Services,’’ Innovations and Advanced Techniques in Computer and Information Sciences and Engineering, T. Sobth, ed., 2007, Springer Verlag, pp. 283 288.

T. Yu and K.J. Lin, ‘‘QCWS: An Implementation of QoS-Capable Multimedia Web services,’’ Multimedia Tools and Applications, vol. 30, no. 2, 2006, pp. 165-187.

I.V. Papaioannou et al., ‘‘A QoS Ontology Language for Web-Services,’’ Proc. IEEE Int’l Conf. Advanced Information Networking and Applications,(AINA), IEEE CS Press, 2006, pp. 101-106.

I.H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, 2nd ed., Morgan Kaufmann Publishers, 2005.

M. Little, E. Newcomer, and G. Pavlik, eds., Web Services Context Specification (WS-Context), OASIS committee draft, Nov. 2004; http://xml.coverpages. Org/WS-ContextCD-9904.pdf.

D.L. McGuinness and F. van Harmelen, eds., OWL Web Ontology Language Overview, World Wide Web Consortium (W3C) recommendation, Feb. 2004;

B. Bouras and A. Gkamas, “Multimedia transmission with adaptative QoS based on real-time protocols,” Int. J. Commun. Syst., no. 16, pp. 225–248,2003.

G. Araniti et al., ‘‘Adaptively Controlling the QoS of Multimedia Wireless Applications through User Profiling Techniques,’’ J. Selected Areas in Comm., vol. 21, no. 10, 2003, pp. 1546-1556.

W.M.P. van der Aalst, A.H.M. ter Hofstede, and M. Weske, ‘‘Business Process Management: A Survey,’’ Proc. Int’l Conf. Business Process Management, (BPM), LNCS 2678, Springer, 2003, pp. 1-12.

M. Jain and C. Dovrolis, ‘‘End-to-End Available Bandwidth: Measurement Methodology, Dynamics, and Relation with TCP Throughput,’’ IEEE/ACM Trans. Networking, vol. 11, no. 4, 2003, pp. 537 549.

Kiran Kumar Reddy D, Karthiek Maralla , Raj Kumar G , M Thirumaran. A greedy approach with criteria factors for QoS based web service discovery. Bangalore : Proceedings of the 2nd Bangalore Annual Compute Conference on 2nd Bangalore Annual Compute Conference, January 2009.

M. Comuzzi, B. Pernici. A Framework for QoS-Based Web. New York : ACM Transactions on The Web, June 2009.

Shobana, M., Gitanjali, P., Rajesh, M., Manikandan, R., A novel approach for hiding image using pixel intensity, (2013) International Review on Computers and Software (IRECOS), 8 (4), pp. 904-908.

Somu, M., Rengarajan, N., A hybrid model of swarm intelligence algorithm to improve the hierarchical cache optimization in IPTV networks, (2013) International Review on Computers and Software (IRECOS), 8 (6), pp. 1460-1468.

T. Shankar, S. Shanmugavel, A. Karthikeyan “A Hybrid Model of Swarm Intelligence Algorithm to Improve the Hierarchical Cache Optimization in IPTV Networks” ” international review on computers and software Vol 8 N.6 pp. 1460-1468 June 2013

Shankar, T., Shanmugavel, S., Karthikeyan, A., Modified harmony search algorithm for energy optimization in WSN, (2013) International Review on Computers and Software (IRECOS), 8 (6), pp. 1469-1475.

Gouttaya, N., Begdouri, A., Automatic tracking of changes in user behavior to support proactivity in pervasive systems, (2013) International Review on Computers and Software (IRECOS), 8 (8), pp. 1822-1831.


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize