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A Comprehensive Survey on Federated Cloud Computing and its Future Research Directions

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Evolutionary Computing and Mobile Sustainable Networks

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 53))

Abstract

The cloud computing paradigm is popular due to its pay-as-you-go model. Due to its increasing demand for service, the user has a huge advantage in paying for the service currently needed. In a federated cloud environment, there is one or more number of cloud service providers who share their servers to service the user request. It improves minimizing cost, utilization of services and improves performance. Clients will get benefited as there is a Service Level Agreement between both. In the present paper, survey is provided on the benefits of the federated environment, its architecture, provision of resources and future research directions. Paper also gives the comparative study on the above aspects.

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References

  1. Selvanathan N, Jayakody D, Damjanovic-Behrendt V (2019) Federated identity management and interoperability for heterogeneous cloud platform ecosystems. In: Proceedings of the 14th international conference on availability, reliability and security. ACM

    Google Scholar 

  2. Buyya R, Ranjan R, Calheiros RN (2010) Intercloud: utility-oriented federation of cloud computing environments for scaling of application services. In: International conference on algorithms and architectures for parallel processing. Springer, Berlin, Heidelberg

    Google Scholar 

  3. Moreno-Vozmediano R, Montero R, Llorente IM (2012) Iaas cloud architecture: from virtualized datacenters to federated cloud infrastructures. Computer 45(12):65–72

    Article  Google Scholar 

  4. Shishira SR, Kandasamy A, Chandrasekaran K (2017) Workload scheduling in cloud: a comprehensive survey and future research directions. In: 7th international conference on cloud computing. data science & engineering-confluence. IEEE, p 2017

    Google Scholar 

  5. Lucas-Simarro JL et al (2013) Scheduling strategies for optimal service deployment across multiple clouds. Future Gener Comput Syst 29(6):1431–1441

    Google Scholar 

  6. Rosa MJF, Aletéia PFA, Felipe LSM (2018) Cost and time prediction for efficient execution of bioinformatics workflows in federated cloud. In: 2018 IEEE international conference on bioinformatics and biomedicine (BIBM). IEEE

    Google Scholar 

  7. , Breitgand D, Marashini A, Tordsson J (2011) Policy-driven service placement optimization in federated clouds. IBM Res Div Tech Rep 9:11–15

    Google Scholar 

  8. Vecchiola C et al (2012) Deadline-driven provisioning of resources for scientific applications in hybrid clouds with Aneka. Future Gener Comput Syst 28(1):58–65

    Google Scholar 

  9. Habibi M, Fazli MA, Movaghar A (2019) Efficient distribution of requests in federated cloud computing environments utilizing statistical multiplexing. Future Gener Comput Syst 90:451–460

    Article  Google Scholar 

  10. Bohn RB et al (2011) NIST cloud computing reference architecture. In: 2011 IEEE world congress on services. IEEE

    Google Scholar 

  11. Tordsson J et al (2012) Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers. Future Gener Comput Syst 28(2):358–367

    Google Scholar 

  12. Badger L et al (2012) Cloud computing synopsis and recommendations. NIST special publication 800:146

    Google Scholar 

  13. Rochwerger B et al (2009) The reservoir model and architecture for open federated cloud computing. IBM J Res Dev 53(4):4–1

    Google Scholar 

  14. Wright P et al (2012) A constraints-based resource discovery model for multi-provider cloud environments. J Cloud Comput: Adv Syst Appl 1(1):6

    Google Scholar 

  15. Van den Bossche R, Vanmechelen K, Broeckhove J (2010) Cost-optimal scheduling in hybrid IAAS clouds for deadline constrained workloads. In: 2010 IEEE 3rd international conference on cloud computing. IEEE

    Google Scholar 

  16. Chaisiri S, Lee B-S, Niyato D (2011) Optimization of resource provisioning cost in cloud computing. IEEE Trans Serv Comput 5(2):164–177

    Article  Google Scholar 

  17. Calheiros RN et al (2012) A coordinator for scaling elastic applications across multiple clouds. Future Gener Comput Syst 28(8):1350–1362

    Google Scholar 

  18. Najm M, Tamarapalli V (2019) A cost-aware algorithm for placement of enterprise applications in federated cloud data center. In: Proceedings of the 20th international conference on distributed computing and networking. ACM

    Google Scholar 

  19. Javadi B, Abawajy J, Buyya R (2012) Failure-aware resource provisioning for hybrid cloud infrastructure. J Parallel Distrib Comput 72(10):1318–1331

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of MACS, NITK Surathkal, Mangalore, India

    S. R. Shishira & A. Kandasamy

Authors
  1. S. R. Shishira
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  2. A. Kandasamy
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Corresponding author

Correspondence to S. R. Shishira .

Editor information

Editors and Affiliations

  1. Research and Industry Incubation Center, Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India

    V. Suma

  2. Department of Technology and Maritime Innovation, University of Southeast, Horten, Norway

    Noureddine Bouhmala

  3. Go Perception Laboratory, Cornell University, Ithaca, NY, USA

    Haoxiang Wang

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Shishira, S.R., Kandasamy, A. (2021). A Comprehensive Survey on Federated Cloud Computing and its Future Research Directions. In: Suma, V., Bouhmala, N., Wang, H. (eds) Evolutionary Computing and Mobile Sustainable Networks. Lecture Notes on Data Engineering and Communications Technologies, vol 53. Springer, Singapore. https://doi.org/10.1007/978-981-15-5258-8_9

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  • DOI: https://doi.org/10.1007/978-981-15-5258-8_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5257-1

  • Online ISBN: 978-981-15-5258-8

  • eBook Packages: EngineeringEngineering (R0)

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