Abstract
Workflow scheduling in cloud computing is said to be the most challenging problem in the cloud environment. The problem deals with the scheduling of dependent tasks in the cloud environment for improving the performance of the system. The system comprises heterogeneous resources and varying performance matrices. Use of trust models provides a multi-objective solution to this problem. This chapter introduces workflow scheduling, its performance parameters, and parameters affecting trust-based scheduling. The work also proposes a few workflow scheduling algorithms using the trust model. At the end of this chapter, a comparative study of existing literature and the proposed model is discussed which shows that trust-based algorithm performs better than the existing algorithm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
S. Varshney, R. Sandhu, P.K. Gupta, QoS based resource provisioning in cloud computing environment: a technical survey, in Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, ed. by M. Singh, P. Gupta, V. Tyagi, J. Flusser, T. Ören, R. Kashyap, vol. 1046, (Springer, Singapore, 2019)
R. Singh et al., Load balancing of distributed servers in distributed file systems, in ICT Innovations 2015. ICT Innovations 2015. Advances in Intelligent Systems and Computing, ed. by S. Loshkovska, S. Koceski, vol. 399, (Springer, Cham, 2016)
P.K. Gupta, V. Tyagi, S.K. Singh, Predictive Computing and Information Security (Springer, Singapore, 2017). https://doi.org/10.1007/978-981-10-5107-4
A.S. Thakur, P.K. Gupta, Framework to improve data integrity in multi cloud environment. Int. J. Comput. Appl. 87(10), 28–32 (2014)
P.K. Gupta, B.T. Maharaj, R. Malekian, A novel and secure IoT based cloud centric architecture to perform predictive analysis of users activities in sustainable health centres. Multimed. Tools Appl. 76(18), 18489–18512 (2017)
G.M. Roy, S.K. Saurabh, N.M. Upadhyay, P.K. Gupta, Creation of virtual node, virtual link and managing them in network virtualization, in Proceedings of the World Congress on Information and Communication Technologies (WICT ’11), (IEEE, Mumbai, 2011), pp. 738–742
M. Saini, D. Sharma, P.K. Gupta, Enhancing information retrieval efficiency using semantic-based-combined-similarity-measure, in International Conference on Image Information Processing (ICIIP), Waknaghat, India (2011), pp. 1–4
P. Rana, P.K. Gupta, R. Siddavatam, Combined and improved framework of infrastructure as a service and platform as a service in cloud computing, in Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), Advances in Intelligent Systems and Computing (2014), vol. 236, pp. 831–839
M. Singh, U. Kant, P.K. Gupta, V.M. Srivastava, Cloud-based predictive intelligence and its security model, in Predictive Intelligence Using Big Data and the Internet of Things, (IGI Global, Hershey, 2019), pp. 128–143
R. Malekian, A.F. Kavishe, B.T. Maharaj, et al., Smart vehicle navigation system using Hidden Markov Model and RFID technology. Wirel. Pers. Commun. 90(4), 1717–1742 (2016). https://doi.org/10.1007/s11277-016-3419-1
G.M. Roy, S.K. Saurabh, N.M. Upadhyay, P.K. Gupta, Creation of virtual node, virtual link and managing them in network virtualization, in Proceedings of the World Congress on Information and Communication Technologies (WICT ’11), (IEEE, Mumbai, 2011), pp. 738–742
W.A. Tan, Y. Sun, L.X. Li, L. Guang Zhen, T. Wang, A trust service-oriented scheduling model for workflow applications in cloud computing. IEEE Syst. J. 8(3), 868–878 (2013)
W. Li, J. Wu, Q. Zhang, K. Hu, J. Li, Trust-driven and QoS demand clustering analysis based cloud workflow scheduling strategies. Clust. Comput. 17(3), 1013–1030 (2014)
M. Wang, K. Ramamohanarao, J. Chen, Trust-based robust scheduling and runtime adaptation of scientific workflow. Concurr. Comput. Pract. Exper 21(16), 1982–1998 (2009)
Y. Yang, X. Peng, Trust-based scheduling strategy for workflow applications in cloud environment, in 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, (IEEE, Washington, 2013), pp. 316–320
D. Poola, S.K. Garg, R. Buyya, Y. Yang, K. Ramamohanarao, Robust scheduling of scientific workflows with deadline and budget constraints in clouds, in 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, (IEEE, Washington, 2014), pp. 858–865
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Gupta, P., Gupta, P.K. (2020). Trust Modeling in Cloud Workflow Scheduling. In: Trust & Fault in Multi Layered Cloud Computing Architecture. Springer, Cham. https://doi.org/10.1007/978-3-030-37319-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-37319-1_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37318-4
Online ISBN: 978-3-030-37319-1
eBook Packages: EngineeringEngineering (R0)