Abstract
How to accomplish an effective data placement algorithm in hybrid cloud environment has become a crucial issue, especially that science workflow is a sophisticated compute or data-intensive application and brought new challenges by the security issues nowadays. In order to solve the security issues of data placement in hybrid cloud environment, we proposed novel data placement strategy in this paper, and the proposed strategy can be partitioned off three stages. Firstly, the initial feasible solutions are generated stage, it is generated by employing homogeneous method, and we get the initial populations of multilayer coding genetic algorithm; secondly, multi-objects optimize stage trade-off performance and cost, and we balance the resources cost and system performance by using Pareto optimal ideology; finally, generate optimal strategy stage, we estimate Pareto optimal solution and chose the optimum solution act as ultimate data placement strategy. Experiment results prove that our data placement strategy can not only guarantee data security, but also reduce data makespan time.
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
http://searchcloudcomputing.techtarget.com/definition/hybrid-cloud
Vaquero, L., Rodero-Merino, L., Caceres, J., et al.: A break in the clouds: towards a cloud definition. ACM SIGCOMM Comput. Commun. Rev. 39(1), 50–55 (2009)
Yu, H., Powell, N., Stembridge, D., Yuan, X.: Cloud computing and security challenges. In: Proceedings of the 50th Annual Southeast Regional Conference, pp. 298–302. ACM (2012)
Modi, C., Patel, D., Borisaniya, B., Patel, A., Rajarajan, M.: A survey on security issues and solutions at different layers of cloud computing. J. Supercomput. 63(2), 561–592 (2013)
Subashini, Subashini, Kavitha, Veeraruna: A survey on security issues in service delivery models of cloudcomputing. J. Netw. Comput. Appl. 34(1), 1–11 (2011)
Hadi, K., Nasser, Y., Siamak, M.: A self-organized load balancing mechanism for cloud computing
Kebert, A., Banerjee, B., George, G., Solano, J., Solano, W.: Detecting distributed SQL injection attacks in a Eucalyptus cloud environment. In: Proceedings of the 12th International Conference on Security and Management (SAM-13), Las Vegas, NV (2013)
Li, X.J., Wu, Y., Liu, X., Cheng, H.M., Zhu, E.Z., Yang, Y.: Datacenter-oriented data placement strategy of workflows in hybrid cloud. J. Softw. 27(7), 1861–1875 (2016). (in Chinese)
Chen, W., Deelman, E.: WorkflowSim: a toolkit for simulating scientific workflows in distributed environments. In: Proceedings of the IEEE International Conference on E-Science, Bangalore, India, pp. 1–8. IEEE (2012)
Acknowledgements
The work presented in this paper was supported by: National Natural Science Foundation of China (61672174, 61272382), Guangdong Provincial Science & Technology Program (2015B020233019, 2014A020208139), Key Project of Guangdong Province in the Research Center of Cloud Robot (Petrochemical) Engineering Technology (No. 2015B090903084), and Guangdong University of Petrochemical Technology College Students’ Innovation and Entrepreneurship Training (2017pyA027).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Cui, D., Peng, Z., Li, Q., He, J., Huang, F. (2019). A Novel Data Placement Strategy for Science Workflow Based on MCGA in Hybrid Cloud Environment. In: Bhatia, S., Tiwari, S., Mishra, K., Trivedi, M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 760. Springer, Singapore. https://doi.org/10.1007/978-981-13-0344-9_18
Download citation
DOI: https://doi.org/10.1007/978-981-13-0344-9_18
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-0343-2
Online ISBN: 978-981-13-0344-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)