Advertisement

Federated Hybrid Clouds Service Level Agreements and Legal Issues

  • Lubna Luxmi DhiraniEmail author
  • Thomas Newe
  • Shahzad Nizamani
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 797)

Abstract

Cloud computing has been adapted by various sectors due to its diversified benefits in terms of applications, services, different cloud delivery models, architectures, ease of use, cost, performance, and customized offerings. Cloud vendors are bound to provide the quality of services (QoS) to cloud tenants as promised in the service level agreement (SLA) mutually agreed between both parties. Despite having SLA contracts a wide range of legal issues surface as majority of new and existing cloud tenants “fail to understand the federated cloud functionality and SLA exclusions”. The newly formed federated cloud models and vendors lack standardization, performance, reliability, and trust. The authors highlight various SLA and legal based issues with the help of a use-case example in the federated hybrid and multi-cloud ecosystem which may lead cloud tenants into vendor lock-in, operational complexity, security and SLA breaches.

Keywords

Federated hybrid cloud computing Service level agreement Legal issues 

References

  1. 1.
    Kelaidonis D, Vlacheas P, Stavroulaki V, Georgoulas S, Moessner K, Hashi Y, Hashimoto K, Miyake Y, Yamada K, Demestichas P (2017) Cloud internet of things framework for enabling services in smart cities. In: Angelakis V, Tragos E, Pöhls H, Kapovits A, Bassi A (eds) Designing, developing, and facilitating smart cities. Springer, Cham.  https://doi.org/10.1007/978-3-319-44924-1_9Google Scholar
  2. 2.
    Alhamad M, Dillon T, Chang E (2010) SLA-based trust model for cloud computing. In: 2010 13th International conference on network-based information systems.  https://doi.org/10.1109/nbis.2010.67
  3. 3.
    Abawajy J (2009) Determining service trustworthiness in intercloud computing environments. In: 2009 10th International symposium on pervasive systems, algorithms, and networks.  https://doi.org/10.1109/i-span.2009.155
  4. 4.
    Rhoton J (2011) Cloud computing explained, 2nd edn. Recursive Press, US and UKGoogle Scholar
  5. 5.
    NIST Cloud Computing Standards Roadmap, http://selil.com/CLOUD/thoughtData/1/NIST_CCSRWG_092_NIST_SP_500-291_Jul5.pdf. Last accessed 7 Apr 2017
  6. 6.
    Dhirani LL, Newe T, Nizamani S (2016) Tenant—vendor and third-party agreements for the cloud: considerations for security provision. Int J Softw Eng Appl 10(12):449–460.  https://doi.org/10.14257/ijseia.2016.10.12.37CrossRefGoogle Scholar
  7. 7.
    Keller A, Ludwig H (2002) Defining and monitoring service level agreements for dynamic e-business. In: Proceedings of the 16th system administration conference LISAGoogle Scholar
  8. 8.
    Patra PK, Singh H, Singh R, Das S, Dey N, Victoria ADC (2016) Replication and resubmission based adaptive decision for fault tolerance in real time cloud computing: a new approach. Int J Serv Sci Manage Eng Technol (IJSSMET) 7(2):46–60.  https://doi.org/10.4018/ijssmet.2016040104CrossRefGoogle Scholar
  9. 9.
    Paschke A, Bichler M (2008) Knowledge representation concepts for automated SLA management. Decis Support Syst 46(1):187–205.  https://doi.org/10.1016/j.dss.2008.06.008CrossRefGoogle Scholar
  10. 10.
    Fatema K, Emeakaroha VC, Healy PD, Morrison JP, Lynn T (2014) A survey of cloud monitoring tools: taxonomy, capabilities and objectives. J Parallel Distrib Comput 74(10):2918–2933.  https://doi.org/10.1016/j.jpdc.2014.06.007CrossRefGoogle Scholar
  11. 11.
    Naser A, Zolkipli MF, Anwar S, Al-Hawawreh MS (2016) Present status and challenges in cloud monitoring framework: a survey. In: 2016 European intelligence and security informatics conference (EISIC). IEEE, p 201Google Scholar
  12. 12.
    Rak M, Venticinque S, Mhr T, Echevarria G, Esnal G (2011) Cloud application monitoring: the mOSAIC approach. In: 2011 IEEE third international conference on cloud computing technology and science. IEEE, pp 758–763.  https://doi.org/10.1109/cloudcom.2011.117
  13. 13.
    Zeginis C, Kritikos K, Garefalakis P, Konsolaki K, Magoutis K, Plexousakis D (2013) Towards cross-layer monitoring of multi-cloud service-based applications. Lecture Notes in Computer Science, vol 8135, pp 188–195, LNCS.  https://doi.org/10.1007/978-3-642-40651-5_16CrossRefGoogle Scholar
  14. 14.
    Brogi A, Ibrahim A, Soldani J, Carrasco J, Cubo J, Pimentel E, D’Andria F (2014) Seaclouds: a european project on seamless management of multi-cloud applications. ACM SIGSOFT Softw Eng Notes 39(1):1–4.  https://doi.org/10.1145/2557833.2557844CrossRefGoogle Scholar
  15. 15.
    SINTEF: Model-based provisioning and deployment of cloud-based systems, http://cloudml.org. Last accessed 10 Dec 2017
  16. 16.
    SLALOM project: Service level agreement—legal and open model, www.slalom-project.eu/. Last accessed 10 Dec 2017
  17. 17.
    Rios E, Rak M, Iturbe E, Mallouli W (2017) SLA-based continuous security assurance in multi-cloud DevOps. In: CEUR Workshop ProceedingsGoogle Scholar
  18. 18.
    Calcavecchia NM, Celesti A, Di Nitto E (2012) Understanding decentralized and dynamic brokerage in federated cloud environments. In: Achieving federated and self-manageable cloud infrastructures: theory and practice, vol 36Google Scholar
  19. 19.
    Celesti A, Tusa F, Villari M, Puliafito A (2011) Intercloud: the future of cloud computing. Concepts and advantages. In: Cloud computing: methodology, systems, and applications, p 167193CrossRefGoogle Scholar
  20. 20.
    Bhoj P, Singhal S, Chutani S (2001) SLA management in federated environments. Comput Netw 35(1):5–24.  https://doi.org/10.1016/S1389-1286(00)00149-3CrossRefGoogle Scholar
  21. 21.
    Alhamad M, Dillon T, Chang E (2010) Conceptual SLA framework for cloud computing. In: 4th IEEE international conference on digital ecosystems and technologies.  https://doi.org/10.1109/dest.2010.5610586
  22. 22.
    Erl T, Mahmood Z, Puttini R (2013) Cloud computing concepts, technology & architecture. Prentice HallGoogle Scholar
  23. 23.
    Erl T, Cope R, Naserpour A (2015) Cloud computing design patterns. Prentice-Hall, New YorkGoogle Scholar
  24. 24.
    Amazon Web Services, https://aws.com/ec2/sla/. Last accessed 20 Dec 2017
  25. 25.
    SLA for cloud services, https://azures.microsoft.com/en-us/support/legal/sla/cloud-services/v1_0/, Last accessed 20 Dec 2017
  26. 26.
    Google Compute Engine SLA, http://cloud.google.com/compute/sla. Last accessed 20 Dec 2017
  27. 27.
    Hay B, Nance K, Bishop M (2011) Storm clouds rising: security challenges for IaaS cloud computing. In: Proceedings of the 44th Hawaii international conference on system sciences, pp 1–7.  https://doi.org/10.1109/hicss.2011.386
  28. 28.
    Pearson S, Benameur A (2010) Privacy, security and trust issues arising from cloud computing. In: IEEE Second international conference on cloud computing technology and science.  https://doi.org/10.1109/cloudcom.2010.66
  29. 29.
    The Cloud Security Alliance, https://cloudsecurityalliance.org/. Last accessed 20 May 2017
  30. 30.
    Ballani H, Jang K, Karagiannis T, Kim C, Gunawardena D, O’Shea G (2013) Chatty tenants and the cloud network sharing problem. In: 10th USENIX Symposium on networked systems design and implementationGoogle Scholar
  31. 31.
    Buyya R, Ranjan R, Calheiros RN (2010) InterCloud: utility-oriented federation of cloud computing environments for scaling of application services. In: Hsu CH, Yang LT, Park JH, Yeo SS (eds) Algorithms and architectures for parallel processing. ICA3PP 2010. Lecture notes in computer science, vol 6081. Springer, Berlin, Heidelberg.  https://doi.org/10.1007/978-3-642-13119-6_2CrossRefGoogle Scholar
  32. 32.
    Bermbach D, Klems M, Tai S, Menzel M (2011) MetaStorage: a federated cloud storage system to manage consistency-latency tradeoffs. In: 2011 IEEE 4th international conference on cloud computing.  https://doi.org/10.1109/cloud.2011.62
  33. 33.
    Rochwerger B, Breitgand D, Levy E, Galis A, Nagin K, Llorente I, Montero R, Wolfsthal Y, Elmroth E, Caceres J, Ben-Yehuda M, Emmerich W, Galan F (2009) The reservoir model and architecture for open federated cloud computing. IBM J Res Dev 53(4):1–4:11.  https://doi.org/10.1147/jrd.2009.5429058CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.University of LimerickLimerickIreland
  2. 2.Mehran University of Engineering and TechnologyJamshoroPakistan

Personalised recommendations