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Time-Delay Multi-Agent Systems for a Movable Cloud

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Computational Mathematics and Variational Analysis

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 159))

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Abstract

Adaptable splitting of calculations between movable devices and cloud is a significant and exciting research subject for movable cloud computing systems. Current work’s emphasis on the single-agent, neighbor-agent, or multi-agent systems, which aim to optimize the request achievement time for one particular agent. Due to the monopolistic competition for cloud resources among a large number of agents, the divested computations may be performed with a definite scheduling delay on the cloud. In this effort, we introduce three distributed dynamical systems, based on fractional calculus, describing the delay for single-agent, neighbor-agent, and multi-agent systems. We impose a new class of mixed-index time fractional differential equations. In addition, we investigate the asymptotic stability properties by using the fractional Cauchy’s method. We discuss the case of time-delay systems. A simulation is illustrated.

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References

  1. A. Kilbas, H. Srivastava, J.J. Trujillo, Theory and Applications of Fractional Differential Equations, vol. 204 (Elsevier, Amsterdam, 2006)

    Book  Google Scholar 

  2. J. Sabatier, O.P. Agrawal, J.A. Tenreiro Machado. Advances in Fractional Calculus, vol. 4, no. 9 (Springer, Dordrecht, 2007)

    Google Scholar 

  3. E. Tarasov, Fractional Dynamics: Applications of Fractional Calculus to Dynamics of Particles, Fields and Media (Springer, Berlin, 2011)

    Google Scholar 

  4. H. Qi, A. Gan, Research on mobile cloud computing: review, trend and perspectives, in 2012 Second International Conference on Digital Information and Communication Technology and it’s Applications (DICTAP) (IEEE, Piscataway, 2012)

    Google Scholar 

  5. W. Ren, Y.C. Cao, Distributed Coordination of Multi-Agent Networks (Springer, London, 2011)

    Book  Google Scholar 

  6. R.W. Ibrahim, A. Gani, A new algorithm in cloud computing of multi-agent fractional differential economical system. Computing 98(11), 1061–1074 (2016)

    Article  MathSciNet  Google Scholar 

  7. R.W. Ibrahim, H.A. Jalab, A. Gani, Cloud entropy management system involving a fractional power. Entropy 18(1), 14 (2015)

    Google Scholar 

  8. R.W. Ibrahim, H.A. Jalab, A. Gani, Perturbation of fractional multi-agent systems in cloud entropy computing. Entropy 18(1), 31 (2016)

    Google Scholar 

  9. R.W. Ibrahim, A. Gani, Hybrid cloud entropy systems based on Wiener process. Kybernetes 45(7) , 1072–1083 (2016)

    Article  Google Scholar 

  10. R.W. Ibrahim, H.A. Jalab, A. Gani, Entropy solution of fractional dynamic cloud computing system associated with finite boundary condition. Boundary Value Problems 94, 1–12 (2016)

    MathSciNet  MATH  Google Scholar 

  11. R.W. Ibrahim, A. Gani, A mathematical model of cloud computing in the economic fractional dynamic system. Iranian J. Sci. Technol. Trans. A Sci. 42(1), 65–72 (2018)

    Article  MathSciNet  Google Scholar 

  12. S. Muhammad, et al., A review on distributed application processing frameworks in smart mobile devices for mobile cloud computing. IEEE Commun. Surv. Tutorials 15(3), 1294–1313 (2013)

    Article  Google Scholar 

  13. H. Kai, J. Dongarra, C. Geoffrey, Distributed and Cloud Computing: From Parallel Processing to the Internet of Things (Morgan Kaufmann, Los Altos, 2013)

    Google Scholar 

  14. T. Dinh, et al., A survey of mobile cloud computing: architecture, applications, and approaches. Wirel. Commun. Mob. Comput. 13(18), 1587–1611 (2013)

    Article  Google Scholar 

  15. D. Magalhäes, et al., Workload modeling for resource usage analysis and simulation in cloud computing. Comput. Electr. Eng. 47, 69–81 (2015)

    Article  Google Scholar 

  16. R. Kampas, et al., System and method for cloud enterprise services. U.S. Patent No. 9,235,442. 12 Jan. 2016

    Google Scholar 

  17. S. Sung, et al., A distributed mobile cloud computing model for secure big data, in 2016 International Conference on Information Networking (ICOIN) (IEEE, Piscataway, 2016)

    Google Scholar 

  18. T. Li, et al., A convergence of key-value storage systems from clouds to supercomputers. Concurrency Comput. Practice Exp. 28(1), 44–69 (2016)

    Article  Google Scholar 

  19. A.A.Goldstein, Cauchy’s method of minimization. Numer. Math. 4(1), 146–150 (1962)

    Article  MathSciNet  Google Scholar 

  20. V.E.Tarasov, Fractional vector calculus and fractional Maxwell’s equations. Ann. Phys. 323(11), 2756–2778 (2008)

    Article  MathSciNet  Google Scholar 

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Correspondence to Rabha W. Ibrahim .

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Ibrahim, R.W. (2020). Time-Delay Multi-Agent Systems for a Movable Cloud. In: Daras, N., Rassias, T. (eds) Computational Mathematics and Variational Analysis. Springer Optimization and Its Applications, vol 159. Springer, Cham. https://doi.org/10.1007/978-3-030-44625-3_19

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