Abstract
Cloud Computing can be viewed as a computing model containing a pool of resources and Internet based application services. Cloud makes on-demand delivery of these computational resources (data, software and infrastructure) among multiple services via a computer network. An infrastructure-as-a-service cloud system provides computational capacities to remote users. In present scenario, most of the Infrastructure as a Service (IaaS) Clouds use simple resource allocation policies like immediate and best effort. In private cloud, since the resources are limited, maximizing the utilization of resources and giving the guaranteed service for the user are the ultimate goal. Hence efficient scheduling is needed which is a major challenge in satisfying the user’s requirement (QoS). In this paper, we propose an advanced reservation technique with backfilling in scheduling policy that aims at serving the user requests by satisfying the required QoS, achieving the guaranteed service for the request by making an efficient provisioning of cloud resources.
This is a preview of subscription content, log in via an institution to check access.
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
Hamscher, V., Schwiegelshohn, U., Streit, A., Yahyapour, R.: Evaluation of Job-Scheduling Strategies for Grid Computing. In: Buyya, R., Baker, M. (eds.) GRID 2000. LNCS, vol. 1971, pp. 191–202. Springer, Heidelberg (2000)
Buyya, R., Yeo, C.S., Venugopal, S.: Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering, IT Services as Computing Utilities. In: The 10th IEEE International Conference on High Performance Computing and Communications, pp. 5–13. IEEE Computer Society (2008)
Sotomayor, B., Montro, R., Llorente, I., Foster, I.: An open Source Solution for Virtual Infrastructure management in Private and Hybrid Clouds. IEEE Internet Computing, 5–8 (2009)
Sotiriadis, S., Bessis, N., Antonopoulos, N.: Towards inter-cloud schedulers: A survey of meta-scheduling approaches. In: International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 59–66 (2011)
Doelitzscher, F., Sulistio, A., Reich, C., Kuijs, H., Wolf, D.: Private Cloud for Collaboration and e-Learning Services: from IaaS to SaaS, vol. 91(1), pp. 1–20. Springer (2011)
Shyamala, L., Mukherjee, S.: EduCloud: An institutional cloud with optimal scheduling policies. In: Krishna, P.V., Babu, M.R., Ariwa, E. (eds.) ObCom 2011, Part I. CCIS, vol. 269, pp. 114–123. Springer, Heidelberg (2012)
Gao, N., Hong, J.: A Resource Reservation Algorithm with Muti-parameters. In: CHINAGRID 2011, pp. 211–214. IEEE Computer Society, Washington (2011)
Farooq, U., Majumdar, S., Parsons, E.W.: Efficiently Scheduling Advanced Reservations in Grids. Techical report, SCE-0514, Dept. of Systems & Computer Engineering, Carleton University, Ottawa, pp. 1–9 (2005)
Smith, W., Foster, I., Taylor, V.: Schedulling with Advanced Reservations. In: IEEE/ACM Proceedings of CCGrid 2000 (2000)
Sabitha Rani, B.S., Venkatesan, R., Ramalakshmi, R.: Resource reservation in grid computing environments: Design issues. In: ICECT 2011, pp. 66–70 (2011)
Cao, J., Zimmermann, F.: Queue scheduling and advance reservations with COSY. In: Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), p. 63a (2004)
Kaushik, N.R., Figueira, S.M., Chiappari, S.A.: Flexible time-windows for advance reservation scheduling. In: Proceedings of International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2006), pp. 218–225. IEEE Computer Society (2006)
Lu, C.: Queue Theory, Beijing YouDian Publish House (2007)
Buyya, R., Ranjan, R., Calheiros, R.N.: Modeling and Simulation of Scalable Cloud Computing Environments and the CloudSim Toolkit: Challenges and Opportunities. Keynote, High Performance Computing and Simulation (HPCS 2009) Conference, pp. 1–11 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Loganathan, S., Mukherjee, S. (2013). Differentiated Policy Based Job Scheduling with Queue Model and Advanced Reservation Technique in a Private Cloud Environment. In: Park, J.J.(.H., Arabnia, H.R., Kim, C., Shi, W., Gil, JM. (eds) Grid and Pervasive Computing. GPC 2013. Lecture Notes in Computer Science, vol 7861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38027-3_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-38027-3_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38026-6
Online ISBN: 978-3-642-38027-3
eBook Packages: Computer ScienceComputer Science (R0)