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IP Address Management in Virtualized Cloud Environments

  • Chen-Hao Ku
  • Kuan-Ching Li
  • Ching-Hsien Hsu
  • Kuan-Chou Lai
  • Meng-Yen Hsieh
  • Tien-Hsiung Weng
  • Hai Jiang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 234)

Abstract

The ability to deploy resources and services in cloud computing utilizing virtualization technologies in a timely and cost-effective manner is important, bringing with it significant economical gain and business performance, yet accelerating the pace of innovation. Services in cloud platforms are scheduled and executed in optimized and on-demand resources, taking into consideration flexibility and scalability. Due to the existing limitation on the quantity of allocated IPv4 IP addresses, a number of alternatives have been discussed. In this chapter, we propose a novel yet low-overhead method for cloud service providers based on the concept of Infrastructure as a Service (IaaS) framework and network virtualization. The idea behind the design is to respond quickly to the infrastructure needs for the creation of virtual machines (VMs) that meet the capacity requirements of those cloud services as requested by users. It improves the utilization of providers’ resources within this infrastructure as heterogeneous hardware resources are aggregated to the existing platform on demand. Testing on the prototype built demonstrates its effectiveness and performance.

Keywords

Cloud computing Virtual machine IP address Management 

Notes

Acknowledgments

This research is based upon work supported by the National Science Council (NSC), Taiwan, under grants NSC101-2221-E-126-002–, NSC101-2221-E-126-006–, and NSC 101-2221-E-142-001-, and Delta Electronics. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSC or Delta Electronics.

References

  1. 1.
    Antos D, Matyska L, Holub P, Sitera J (2009) VirtCloud: virtual network for user-controlled virtual clusters. Cesnet technical report 1/2009Google Scholar
  2. 2.
    Nagarajan AB, Mueller F, Engelmann C, Scott SL (2007) Proactive fault tolerance for HPC with Xen virtualization. In: ICS’2007. ACM, New YorkGoogle Scholar
  3. 3.
    Shin D, Wang Y, Claycomb W (2012) A policy-based decentralized authorization management framework for cloud computing. In: Proceeding of SAC’12 the 27th annual ACM symposium on applied computing. ACM, New York, pp 465–470CrossRefGoogle Scholar
  4. 4.
    Li K-C, Weng T-H (2009) Performance-based parallel application toolkit for high-performance clusters. J Supercomput 48(1):43–65MATHCrossRefGoogle Scholar
  5. 5.
    Grit L, Irwin D, Yumerefendi A, Chase J (2006) Virtual machine hosting for networked clusters: building the foundations for ‘autonomic’ orchestration. In: Proceedings of the VTDC’06 international workshop on virtualization technologies in distributed computing. IEE Computer Society, Washington, DCGoogle Scholar
  6. 6.
    Hsu C-H, Chen S-C, Lee C-C, Chang H-Y, Lai K-C, Li K-C, Rong C (2011) Energy-aware task consolidation technique for cloud computing. In: Proceedings of The 3rd Cloudcom’2011 I.E. international conference on cloud computing technology and science. IEE Computer Society, Washington, DCGoogle Scholar
  7. 7.
    Bauer E, Adams R (2012) Reliability and availability of cloud computing. Wiley, HobokenMATHCrossRefGoogle Scholar
  8. 8.
    Jacob JC, Katz DS, Berriman GB, Good JC, Laity AC, Deelman E, Kesselman C, Singh G, Su M-H, Prince TA, Williams R (2009) Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking. Int J Comput Sci Eng 4(2):73–87Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Chen-Hao Ku
    • 1
  • Kuan-Ching Li
    • 1
  • Ching-Hsien Hsu
    • 2
  • Kuan-Chou Lai
    • 3
  • Meng-Yen Hsieh
    • 1
  • Tien-Hsiung Weng
    • 1
  • Hai Jiang
    • 4
  1. 1.Department of Computer Science and Information EngineeringProvidence UniversityProvidenceTaiwan
  2. 2.Department of Computer Science and Information EngineeringChung Hua UniversityHsinchu CityTaiwan
  3. 3.Department of Computer and Information ScienceNational Taichung UniversityTaichungTaiwan
  4. 4.Department of Computer ScienceArkansas State UniversityJonesboroUSA

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