Abstract
Cloud computing is one of the highly debated topics in today’s IT as well as academic research domain. The balance between performance and security has always been a vital issue when adapting cloud-based services. Task scheduling is a major research area of cloud computing, where efficient algorithms are devised for service providers to allocate a task to a particular virtual machine, thereby enhancing the performance as well as execution time of the tasks. Though QoS has been kept in mind while designing such schemes, the aspect of security has been majorly ignored in the existing works. Here a secured task scheduling methodology has been devised by using the test environment of CloudSim 3.0.3.
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
Calheiros, R.N., Ranjan R., Beloglazov A., Rose C.A.F.D., Buyya R., CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw.: Pract. Exp. 41(1), 23–50(2011)
Choudhary, M., Peddoju, S.K.: A dynamic optimization algorithm for task scheduling in cloud environment. Int. J. Eng. Res. Appl. (IJERA) 2(3), 2564–2568 (2012)
Tawfeek, M.A., El-Sisi, A., Keshk A.E., Torkey, F.A.: Cloud task scheduling based on ant colony optimization. In: 8th International Conference on Computer Engineering and Systems (ICCES), pp. 64–69. IEEE Cairo (2013)
Lakra, A.V., Yadav, D.K.: Multi-objective tasks scheduling algorithm for cloud computing throughput optimization. In: International Conference on Intelligent Computing, Communication & Convergence, 48, 107–113 (2015). Interscience Institute of Management and Technology, Bhubaneswar, Odisha, India
Sahli, H., Belala, F., Bouanaka, C.: Model-checking cloud systems using BigMC. In: 8th International Workshop on Verification and Evaluation of Computer and Communication Systems, Algeria, pp. 25–33 (2014)
Bhattacharjee, J., Sengupta, A., Mazumdar, M.: A formal methodology for enterprise information security risk assessment. In: International Conference on Risks and Security of Internet and Systems (CRiSIS), pp. 1–9. IEEE, France (2013)
Bell, D.E., LaPadula, L.J.: Secure computer system: unified exposition and Multics interpretation. Technical Report, ESD-TR-75-306. The Mitre Corporation, Bedford, MA (1976)
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
Basu, S., Anand, A. (2019). Location Based Secured Task Scheduling in Cloud. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 107. Springer, Singapore. https://doi.org/10.1007/978-981-13-1747-7_7
Download citation
DOI: https://doi.org/10.1007/978-981-13-1747-7_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1746-0
Online ISBN: 978-981-13-1747-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)