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A Service Broker Model for Cloud based Render Farm Selection

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 96 - Number 24
Year of Publication: 2014
Authors:
Ruby Annette
Aisha Banu. W
10.5120/16941-6951

Ruby Annette and Aisha Banu. W. Article: A Service Broker Model for Cloud based Render Farm Selection. International Journal of Computer Applications 96(24):11-14, June 2014. Full text available. BibTeX

@article{key:article,
	author = {Ruby Annette and Aisha Banu. W},
	title = {Article: A Service Broker Model for Cloud based Render Farm Selection},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {96},
	number = {24},
	pages = {11-14},
	month = {June},
	note = {Full text available}
}

Abstract

Cloud computing is gaining popularity in the 3D Animation industry for rendering the 3D images. Rendering is an inevitable task in creating the 3d animated scenes. It is a process where the scene files to be animated is read and converted into 3D photorealistic images automatically. Since it is a computationally intensive task, this process consumes the majority of the time taken for 3D images production. As the scene files could be processed in parallel, clusters of computers called render farms can be used to speed up the rendering process. The advantage of using Cloud based render farms is that it is scalable and can be availed on demand. One of the important challenges faced by the 3D studios is the comparison and selection of the cloud based render farm service provider who could satisfy their functional and the non functional Quality of Service (QoS) requirements. In this paper we propose, a frame work for Cloud Service Broker (CSB) responsible for the selection and provision of the cloud based render farm. The Cloud Service Broker matches the functional and the non functional Quality of Service requirements (QoS) of the user with the service offerings of the render farm service providers and helps the user in selecting the right service provider using an aggregate utility function. The CSB also facilitates the process of Service Level Agreement (SLA) negotiation and monitoring by the third party monitoring services.

References

  • Gartner, "Gartner Says Cloud Consumers Need Brokerages to Unlock the Potential of Cloud Services,"2009. http://www. gartner. com/newsroom/id/1064712
  • T. Yu and K. J. Lin, "A Broker-based Framework for QoS-aware Web Service Composition," In Proc. of the 2005 IEEE International Conference on E-Technology, e-Commerce and e-Service,(EEE'05), pp. 22-29, 2005.
  • T. Yu and K. J. Lin, "The Design of QoS Broker Algorithms for QoS-Capable Web Services," In Proc. of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service,2004. IEEE'04. , pp. 17-24, 2004.
  • X. Wang et al. , A QoS-aware selection model for semantic web services, in: Proc. of 4th Intl. Conf. on Service Oriented Computing, LNCS, vol. 4294,Springer-Verlag, 2006, pp. 390–401.
  • H. Tong, S. Zhang, A fuzzy multi-attribute decision making algorithm for web services selection based on QoS, in: Proc. IEEE Asia-Pacific Conf. on Services Computing, IEEE Computer Society,2006, pp. 51–57.
  • A. J. Ferrer, F. Hernández, J. Tordsson, E. Elmroth, A. Ali-Eldin, C. Zsigri, R. Sirvent, J. Guitart, R. M. Badia, and K. Djemame, "OPTIMIS: A holistic approach to cloud service provisioning," Future Generation Computer Systems, Vol. 28 (1), pp. 66–77, 2012.
  • S. K. Garg, et al. , "Smicloud: A framework for comparing and ranking cloud services," In proc. of the 2011 Fourth IEEE International Conference on Utility and Cloud Computing (UCC), pp. 210-218, 2011.
  • S. WANG, et al. , "Cloud model for service selection," In Proc. of the 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 666-671, 2011.
  • F. K. Hussain and O. K. Hussain, "Towards Multi-Criteria Cloud Service Selection," In Proc. of the 2011 Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), pp. 44-48, 2011.
  • A. Li, et al. , "CloudCmp: comparing public cloud providers," In Proc. of the 10th annual conference on Internet measurement, pp. 1-14, 2010.
  • A. Li, et al. , "CloudCmp: shopping for a cloud made easy," USENIX HotCloud, 2010.
  • A. Li, et al. , "Comparing public-cloud providers," Internet Computing, IEEE, Vol. 15, pp. 50-53, 2011
  • T. L. Saaty, L. Vargas, Fundamentals of Decision Making and Priority Theory with the AnalyticHierarchy Process, RWS Publications, 2000.
  • A. AuYoung, L. Grit, J. Wiener, and J. Wilkes, "Service contracts and aggregate utility functions,"In Proc. of the IEEE Symposium on High Performance Distributed Computing, pp. 119–131, 2006.
  • Elarbi Badidi ," A framework for software-as-a-service selection and provisioning", Internationa Journal of Computer Networks & Communications (IJCNC) Vol. 5, No. 3, May 2013.