Abstract
Cloud computing is a neoteric model which facilitates suitable, on-demand network access can be quickly supplied and released with minimal management effect or service provider interaction to a shared pool of configurable computing resources. Here, our objective is to use physical resources in a cost-effective manner. Use of different applications in different OS on dedicated physical machine for each OS leads to wastage of resources. The virtualization is the best solution for the use of resources. It allows all the users to run their likely OS virtual machines on single system using KVM for virtualization. In this paper, we provide a detailed review of a deployment of cloud computing using open source.
© 2015 AENSI Publisher All rights reserved.
Manjunath Mulimani, Anjali, Ashwini N, Jayashree, Nagadeeksha, Nebula: Deployment of cloud using Open Source, 2015.
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
References
Chen S, Mulgrew B, Grant PM (1993) A clustering technique for digital communications channel equalization using radial basis function networks. IEEE Trans Neural Netw 4:570–578
Duncombe JU (1959) Infrared navigation—Part I: an assessment of feasibility. IEEE Trans Electron Devices ED-11:34–39
Lin CY, Wu M, Bloom JA, Cox IJ, Miller M (2001) Rotation, scale, and translation resilient public watermarking for images. IEEE Trans Image Process 10(5):767–782
Clark C, Fraser K, Hand S, Hansen JG, Jul E, Limpach C, Pratt I, Warfield A (2005) University of Cambridge Computer Laboratory, Cambridge
Felter W, Ferreira A, Rajamony R, Rubio J (2014) An updated performance comparison of virtual machines and linux containers. IBM Research, Austin
Nanda S, Chiueh T (2005) A survey on virtualization technologies. Department of Computer Science, SUNY at Stony Brook, Stony Brook
Kivity A, Kamay Y, Laor D, Lublin U, Liguori A (2007) kvm: the Virtual Machine Monitor
Kivity A, Kamay Y, Laor D, Lublin U, Liguori A (2007) KVM: the Linux virtual machine monitor. In: Proceedings of the linux symposium, vol 1. Ottawa, Ontario, Canada, pp 225–230
Popek GJ, Goldberg RP (1974) Formal requirements for virtualizable third generation architectures. Commun ACM 17(7):412–421
Virtualization overview. http://www.vmware.com/pdf/virtualization.pdf
Xen Project Software Overview. http://wiki.xen.org/wiki/Xen Overview
Bellard F (2005) QEMU, a fast and portable dynamic translator. In: Proceedings of the annual conference on USENIX annual technical conference, ATEC ’05. USENIX Association, Berkeley, CA, USA, p 41
Russell Rusty (2008) Virtio: towards a de-facto standard for virtual I/O devices. SIGOPS Oper Syst Rev 42(5):95–103
McDougall R, Anderson J (2010) Virtualization performance: perspectives and challenges ahead. SIGOPS Oper Syst Rev 44(4):40–56
Balogh A (2013) Google Compute Engine is now generally available with expanded OS support, transparent maintenance, and lower prices. http://googledevelopers.blogspot.com/2013/12/google-compute-engine-is-now-generally.html, Dec 2013
Bolte M, Sievers M, Birkenheuer G, Niehörster O, Brinkmann A (2010) Non-intrusive virtualization management using Libvirt. In: Proceedings of the conference on design, automation and test in Europe, DATE ’10, European Design and Automation Association, pp 574–579
Sapuntzakis CP, Chandra R, Pfaff B, Chow J, Lam MS, Rosenblum M (2002) Optimizing the migration of virtual computers. In: Proceedings of the 5th symposium on operating systems design and implementation (OSDI-02), Dec 2002
Laor D, Kivity A, Kamay Y, Lublin U, Liguori A (2007) KVM: the linux virtual machine monitor. Virtualization technology for directed I/O. Intel Technol J 10:225–230
Ubuntu enterprise cloud—overview. http://www.ubuntu.com/business/cloud/overview
VMWare vCloud Director—deliver infrastructure as a service without compromise. http://www.vmware.com/products/vclouddirector/features.html
Milojicic D, Douglis F, Paindaveine Y, Wheeler R, Zhou S (2000) Process migration. ACM Comput Surv 32(3):241–299
Stage A, Setzer T (2009) Network-aware migration control and scheduling of differentiated virtual machine workloads. Proceedings of the 2009 ICSE workshop on software engineering challenges of cloud computing, pp 9–14
Lloyd W, Pallickara S, David O (2011) Migration of multi-tier applications to infrastructure-as-a-service clouds: an investigation using kernel-based virtual machines. IEEE/ACM 12th international conference on grid computing, (GRID), pp 137–144
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer India
About this paper
Cite this paper
Manjunath, M., Anjali, B., Ashwini, N., Nagadeeksha, K., Jayashree, S. (2016). NEBULA: Deployment of Cloud Using Open Source. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 398. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2674-1_61
Download citation
DOI: https://doi.org/10.1007/978-81-322-2674-1_61
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2672-7
Online ISBN: 978-81-322-2674-1
eBook Packages: EngineeringEngineering (R0)