Abstract
Cloud computing is infrastructure which provides services to end users and increases the efficiency of the system. Fog computing is the extension of cloud computing which distributes load of cloud servers on different fog servers and enhance the overall performance of cloud. Smart Grid (SG) is the combination of traditional grid and information,communication and technology. The purpose of integration of cloud-fog based system and smart grid in this paper is to enhance the energy management services. In this paper a four layered cloud-fog based architecture is proposed to reduce the load of power requests. Three different load balancing algorithms: Round Robin (RR), Particle Swarm Optimization (PSO) and Threshold Based Load Balancer (TBLB) are used for efficient resource utilization. The service broker policies used in this paper are: Dynamically Reconfigure with Load and Advanced Service Proximity. While comparing the results on both broker policies TBLB performs betters in term of Response Time (RT) and Processing Time (PT). However, Trade-off is comparative in Cost, RT and PT.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gelazanskas, L., Gamage, K.A.A.: Demand side management in smart grid: a review and proposals for future direction. Sustain. Cities Soc. 11, 22–30 (2014)
Kavis, M.J.: Architecting the Cloud: Design Decisions for Cloud Computing Service Models (SaaS, PaaS, and IaaS). Wiley, Hoboken (2014)
Cao, Z., et al.: Optimal cloud computing resource allocation for demand side management in smart grid. IEEE Trans. Smart Grid 8(4), 1943–1955 (2017)
Okay, F.Y., Ozdemir, S.: A fog computing based smart grid model. In: 2016 International Symposium on Networks, Computers and Communications (ISNCC). IEEE (2016)
Zahoor, S., Javaid, N., Khan, A., Muhammad, F.J., Zahid, M., Guizani, M.: A cloud-fog-based smart grid model for efficient resource utilization. In: 14th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC-2018)
Fatima, I., Javaid, N., Iqbal, M.N., Shafi, I., Anjum, A., Memon, U.: Integration of cloud and fog based environment for effective resource distribution in smart buildings. In: 14th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC-2018)
Patel, R.: Cloud analyst: an insight of service broker policy. Int. J. Adv. Res. Comput. Commun. Eng. 4(1), 122–127 (2015)
Chen, S.-L., Chen, Y.-Y., Kuo, S.-H.: CLB: a novel load balancing architecture and algorithm for cloud services. Comput. Electr. Eng. 58, 154–160 (2017)
Islam, N., Waheed, S.: Fuzzy based efficient service broker policy for cloud. Int. J. Comput. Appl. 168(4) (2017)
Okay, F.Y., Ozdemir, S.: A fog computing based smart grid model. In: 2016 International Symposium on Networks, Computers and Communications (ISNCC), pp. 1–6. IEEE (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Rehman, M., Javaid, N., Ali, M.J., Saif, T., Ashraf, M.H., Abbasi, S.H. (2019). Threshold Based Load Balancer for Efficient Resource Utilization of Smart Grid Using Cloud Computing. In: Xhafa, F., Leu, FY., Ficco, M., Yang, CT. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-030-02607-3_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-02607-3_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-02606-6
Online ISBN: 978-3-030-02607-3
eBook Packages: EngineeringEngineering (R0)