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2019 | OriginalPaper | Chapter

Round Robin Inspired History Based Load Balancing Using Cloud Computing

Authors : Talha Saif, Nadeem Javaid, Mubariz Rahman, Hanan Butt, Muhammad Babar Kamal, Muhammad Junaid Ali

Published in: Advances on P2P, Parallel, Grid, Cloud and Internet Computing

Publisher: Springer International Publishing

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Abstract

The advancement of cloud computing (CC) becomes a reason for the foundation of fog computing (FC). FC inherits the services of CC and divides the load of executions on different small levels which ultimately reduces the load on cloud. FC stores data on short term basis and forward it to the cloud for long term storage. In this paper, a fog based environment is proposed connected with cloud and cluster, managing data taken from end user. The proposed algorithm is round robin (RR) inspired and works by using the history of previous VMs. Two service broker policies have also been considered in this paper which are closest data center policy and advance broker policy. Aforementioned three algorithms have been used with these broker policies. RRIHB (Round Robin Inspire History Based Algorithm) outperforms (Honey Bee) HB in case of both service broker policies while it performs equal in case of RR with closest data center and outperforms RR with advance broker policy.

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Literature
1.
go back to reference Luan, T.H., Gao, L., Li, Z., Xiang, Y., Wei, G., Sun, L.: Fog computing: focusing on mobile users at the edge. arXiv preprint arXiv:1502.01815 (2015) Luan, T.H., Gao, L., Li, Z., Xiang, Y., Wei, G., Sun, L.: Fog computing: focusing on mobile users at the edge. arXiv preprint arXiv:​1502.​01815 (2015)
3.
go back to reference Hashem, W., Nashaat, H., Rizk, R.: Honey Bee based load balancing in cloud computing. KSII Trans. Internet Inf. Syst. 11(12) (2017) Hashem, W., Nashaat, H., Rizk, R.: Honey Bee based load balancing in cloud computing. KSII Trans. Internet Inf. Syst. 11(12) (2017)
4.
go back to reference Duan, H., Chen, C., Min, G., Wu, Y.: Energy-aware scheduling of virtual machines in heterogeneous cloud computing systems. Future Gener. Comput. Syst. 74, 142–150 (2017)CrossRef Duan, H., Chen, C., Min, G., Wu, Y.: Energy-aware scheduling of virtual machines in heterogeneous cloud computing systems. Future Gener. Comput. Syst. 74, 142–150 (2017)CrossRef
6.
go back to reference Faruque, A., Abdullah, M., Vatanparvar, K.: Energy management-as-a-service over fog computing platform. IEEE Internet Things J. 3(2), 161–169 (2016)CrossRef Faruque, A., Abdullah, M., Vatanparvar, K.: Energy management-as-a-service over fog computing platform. IEEE Internet Things J. 3(2), 161–169 (2016)CrossRef
7.
go back to reference Moghaddam, M.H.Y., Leon-Garcia, A., Moghaddassian, M.: On the performance of distributed and cloud-based demand response in smart grid. IEEE Trans. Smart Grid (2017) Moghaddam, M.H.Y., Leon-Garcia, A., Moghaddassian, M.: On the performance of distributed and cloud-based demand response in smart grid. IEEE Trans. Smart Grid (2017)
8.
go back to reference Chaudhary, D., Kumar, B.: A new balanced particle swarm optimisation for load scheduling in cloud computing. J. Inf. Knowl. Manag. 17(01), 1850009 (2018)CrossRef Chaudhary, D., Kumar, B.: A new balanced particle swarm optimisation for load scheduling in cloud computing. J. Inf. Knowl. Manag. 17(01), 1850009 (2018)CrossRef
10.
go back to reference Tayeb, S., Mirnabibaboli, M., Chato, L., Latifi, S.: Minimizing energy consumption of smart grid data centers using cloud computing. In: 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), pp. 1–5. IEEE (2017) Tayeb, S., Mirnabibaboli, M., Chato, L., Latifi, S.: Minimizing energy consumption of smart grid data centers using cloud computing. In: 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), pp. 1–5. IEEE (2017)
12.
go back to reference Mishra, S.K., Khan, M.A., Sahoo, B., Puthal, D., Obaidat, M.S., Hsiao, K.F.: Time efficient dynamic threshold-based load balancing technique for Cloud Computing. In: 2017 International Conference on Computer, Information and Telecommunication Systems (CITS), pp. 161–165. IEEE (2017) Mishra, S.K., Khan, M.A., Sahoo, B., Puthal, D., Obaidat, M.S., Hsiao, K.F.: Time efficient dynamic threshold-based load balancing technique for Cloud Computing. In: 2017 International Conference on Computer, Information and Telecommunication Systems (CITS), pp. 161–165. IEEE (2017)
14.
go back to reference Shakya, K.K., Karaulia, D.S.: A process scheduling algorithm based on threshold for the cloud computing environment. Int. J. Comput. Sci. Mob. Comput. (IJCSMC) 3(4) (2014) Shakya, K.K., Karaulia, D.S.: A process scheduling algorithm based on threshold for the cloud computing environment. Int. J. Comput. Sci. Mob. Comput. (IJCSMC) 3(4) (2014)
15.
go back to reference Yuce, B., Packianather, M.S., Mastrocinque, E., Pham, D.T., Lambiase, A.: Honey bees inspired optimization method: the bees algorithm. Insects 4(4), 646–662 (2013)CrossRef Yuce, B., Packianather, M.S., Mastrocinque, E., Pham, D.T., Lambiase, A.: Honey bees inspired optimization method: the bees algorithm. Insects 4(4), 646–662 (2013)CrossRef
16.
go back to reference 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) 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)
17.
go back to reference Mishra, S.K., Putha, D., Rodrigues, J.J.P.C., Sahoo, B., Dutkiewicz, E.: Sustainable service allocation using metaheuristic technique in fog server for industrial applications. IEEE Trans. Ind. Inform. (2018) Mishra, S.K., Putha, D., Rodrigues, J.J.P.C., Sahoo, B., Dutkiewicz, E.: Sustainable service allocation using metaheuristic technique in fog server for industrial applications. IEEE Trans. Ind. Inform. (2018)
18.
go back to reference Banerjee, S., Roy, A., Chowdhury, A., Mutsuddy, R., Mandal, R., Biswas, U.: An approach toward amelioration of a new cloudlet allocation strategy using cloudsim. Arab. J. Sci. Eng. 43(2), 879–902 (2018)CrossRef Banerjee, S., Roy, A., Chowdhury, A., Mutsuddy, R., Mandal, R., Biswas, U.: An approach toward amelioration of a new cloudlet allocation strategy using cloudsim. Arab. J. Sci. Eng. 43(2), 879–902 (2018)CrossRef
Metadata
Title
Round Robin Inspired History Based Load Balancing Using Cloud Computing
Authors
Talha Saif
Nadeem Javaid
Mubariz Rahman
Hanan Butt
Muhammad Babar Kamal
Muhammad Junaid Ali
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-02607-3_46