Skip to main content
SpringerLink
Log in

Tools for Fault and Reliability in Multilayered Cloud

  • Chapter
  • First Online:
Trust & Fault in Multi Layered Cloud Computing Architecture

Abstract

Cloud computing is a buzzing word in research communities. Research communities are working in the domain of finding a way for the researcher to study the performance of the cloud environment and design new approaches to improve performance. These communities are facing the same problem of correct and complete simulation environment of cloud simulation in all dimensions which are security, networks, cloud architecture, and various services of cloud computing. This chapter contributes to the researcher by demonstrating all such solutions available for cloud simulation with their functionalities and metrics over which they perform performance study of the cloud environment. The work has categorized the simulator based on the environment and cloud service and features of cloud they can simulate like SaaS, PaaS, and IaaS.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. W. Chen, E. Deelman, WorkflowSim: a toolkit for simulating scientific workflows in distributed environments, in 2012 IEEE 8th International Conference on E-Science (IEEE, 2012), pp. 1–8

    Google Scholar 

  2. T. Goyal, A. Singh, A. Agrawal, CloudSim: simulator for cloud computing infrastructure and modeling. Procedia Eng. 38, 3566–3572 (2012)

    Article  Google Scholar 

  3. A. Zhou, S. Wang, Q. Sun, H. Zou, F. Yang, FTCloudSim: a simulation tool for cloud service reliability enhancement mechanisms, in Proceedings Demo & Poster Track of ACM/IFIP/USENIX International Middleware Conference (ACM, 2013), p. 2

    Google Scholar 

  4. M.C. Silva Filho, R.L. Oliveira, C.C. Monteiro, P.R. Inácio, M.M. Freire, CloudSim Plus: a cloud computing simulation framework pursuing software engineering principles for improved modularity, extensibility and correctness, in 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) (IEEE, 2017), pp. 400–406

    Google Scholar 

  5. M.C. Nita, F. Pop, M. Mocanu, V. Cristea, Fim-sim: fault injection module for CloudSim based on statistical distributions. J. Telecommun. Inform. Technol. 4, 14–23 (2014)

    Google Scholar 

  6. P. Dalbhanjan, Overview of deployment options on AWS. Amazon Whitepapers (2015).

    Google Scholar 

  7. Salesforce: https://www.salesforce.com/in/

  8. RedHat: https://www.redhat.com/en/technologies/cloud-computing/cloud-suite

  9. OpenShift: https://www.openshift.com/

  10. Medix: https://www.medixteam.com

  11. Azure: https://azure.microsoft.com/en-in/

  12. VMware cloud: https://cloud.vmware.com/

  13. Oracle: https://www.oracle.com/in/cloud/

  14. Rackstack: https://www.rackspace.com/

  15. Openstack: https://www.openstack.org/

  16. WSO2: https://wso2.com

  17. Cloudify: https://cloudify.co/

  18. Cloud foundry: https://www.cloudfoundry.org/

  19. Tsuru: https://tsuru.io/

  20. CloudStack: https://cloudstack.apache.org/

  21. Apache Mesos: http://mesos.apache.org/

  22. Eucalyptus: https://www.eucalyptus.cloud/

  23. AppScale: https://www.appscale.com/

  24. Z. Cai, Q. Li, X. Li, ElasticSim: a toolkit for simulating workflows with cloud resource runtime auto-scaling and stochastic task execution times. J. Grid Comput. 15(2), 257–272 (2017)

    Article  Google Scholar 

  25. GitHub: https://github.com/Cloudslab/cloudsim/releases

  26. M. Bux, U. Leser, DynamicCloudSim: simulating heterogeneity in computational clouds. Futur. Gener. Comput. Syst. 46, 85–99 (2015)

    Article  Google Scholar 

  27. B. Wickremasinghe, R.N. Calheiros, R. Buyya, CloudAnalyst: a CloudSim-based visual modeller for analysing cloud computing environments and applications, in 2010 24th IEEE international conference on advanced information networking and applications (IEEE, 2010), pp. 446–452

    Google Scholar 

  28. L. Liu, H. Wang, X. Liu, X. Jin, W.B. He, Q.B. Wang, Y. Chen, GreenCloud: a new architecture for green data center, in Proceedings of the 6th International Conference Industry Session on Autonomic Computing and Communications Industry Session (ACM, 2009), pp. 29–38

    Google Scholar 

  29. A. Núñez, J.L. Vázquez-Poletti, A.C. Caminero, G.G. Castañé, J. Carretero, I.M. Llorente, iCanCloud: A flexible and scalable cloud infrastructure simulator. J. Grid Comput. 10(1), 185–209 (2012)

    Article  Google Scholar 

  30. R.N. Calheiros, M.A. Netto, C.A. De Rose, R. Buyya, EMUSIM: an integrated emulation and simulation environment for modeling, evaluation, and validation of performance of cloud computing applications. Softw. Pract. Exper. 43(5), 595–612 (2013)

    Article  Google Scholar 

  31. T.T. Sá, R.N. Calheiros, D.G. Gomes, CloudReports: an extensible simulation tool for energy-aware cloud computing environments, in Cloud Computing, (Springer, Cham, 2014), pp. 127–142

    Google Scholar 

  32. S. Ostermann, K. Plankensteiner, R. Prodan, T. Fahringer, GroudSim: an event-based simulation framework for computational grids and clouds, in European Conference on Parallel Processing, (Springer, Berlin, Heidelberg, 2010), pp. 305–313

    Google Scholar 

  33. M. Tighe, G. Keller, M. Bauer, H. Lutfiyya, DCSim: a data centre simulation tool for evaluating dynamic virtualized resource management, in 2012 8th International Conference on Network and Service Management (Cnsm) and 2012 Workshop on Systems Virtualiztion Management (SVM) (IEEE, 2012), pp. 385–392

    Google Scholar 

  34. A.S. Lakshmi, N.S. Chandra, M. Bal Raju, Optimized capacity scheduler for MapReduce applications in cloud environments, in Data Management, Analytics and Innovation, (Springer, Singapore, 2019), pp. 157–169

    Chapter  Google Scholar 

  35. P. Kathiravelu, L. Veiga, An adaptive distributed simulator for cloud and MapReduce algorithms and architectures, in 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (IEEE, 2014), pp. 79–88

    Google Scholar 

  36. M. Seddiki, R.P. de Prado, J.E. Munoz-Expósito, S. García-Galán, Fuzzy rule-based systems for optimizing power consumption in data centers, in Image Processing and Communications Challenges 5, (Springer, Heidelberg, 2014), pp. 301–308

    Chapter  Google Scholar 

  37. N. Shinde, P.S. Kiran, A survey of Cloud Auction mechanisms & decision making in Cloud Market to achieve highest resource & cost efficiency, in 2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT) (IEEE, 2016), pp. 1158–1162

    Google Scholar 

  38. Kohne A, Spohr M, Nagel L, Spinczyk O, Federated CloudSim: a SLA-aware federated cloud simulation framework, in Proceedings of the 2nd International Workshop on CrossCloud Systems (ACM, 2014), p. 3. ACM

    Google Scholar 

  39. Parallel Workload: https://www.cse.huji.ac.il/labs/parallel/workload/

Download references

Author information

Authors and Affiliations

  1. Manipal University Jaipur, Rajasthan, India

    Punit Gupta

  2. Jaypee University of Information Technology, Solan, India

    Pradeep Kumar Gupta

Authors
  1. Punit Gupta
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pradeep Kumar Gupta
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Gupta, P., Gupta, P.K. (2020). Tools for Fault and Reliability in Multilayered Cloud. In: Trust & Fault in Multi Layered Cloud Computing Architecture. Springer, Cham. https://doi.org/10.1007/978-3-030-37319-1_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-37319-1_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37318-4

  • Online ISBN: 978-3-030-37319-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation