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2019 | OriginalPaper | Buchkapitel

Cloud-Fog Based Load Balancing Using Shortest Remaining Time First Optimization

verfasst von : Muhammad Zakria, Nadeem Javaid, Muhammad Ismail, Muhammad Zubair, Muhammad Asad Zaheer, Faizan Saeed

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

Verlag: Springer International Publishing

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Abstract

Micro Grid (MG) integrated with cloud computing to develop an improved Energy Management System (EMS) for end users and utilities. For data processing on cloud new applications are developed. To overcome the overloading on cloud data centers fog computing is integrated. Three-layered framework is proposed in this paper to overcome the load of consumers. First layer is end-user layer which contains clusters of smart buildings. These smart buildings consist smart homes. Each smart home having multiple appliances. Controllers are used to connect with fog. Second and central layer consists of fogs with Virtual Machines (VMs). Fogs receive user requests and forwards that to MG. If the request is out of bound then MG requests to cloud using fog. Third layer contains cloud which consists data centers and utility. For load balancing three different techniques are used. Round Robin (RR), Throttled and Shortest Remaining Time First (SRTF) used to compare results of VMs allocation. Results show that proposed technique performed better cost wise. However, RR and Throttled outperformed SRTF overall. Closest Data Center Service broker policy is used for fog selection.

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Vorheriges Kapitel On the Security of a CCA-Secure Timed-Release Conditional Proxy Broadcast Re-encryption Scheme
Nächstes Kapitel Mining and Utilizing Network Protocol’s Stealth Attack Behaviors
Literatur
1.
Yasmeen, A., Javaid, N.: Exploiting Load Balancing Algorithms for Resource Allocation in Cloud and Fog Based Infrastructures. COMSATS Institute of Information Technology, Islamabad 44000, Pakistan
2.
Zahoor, S., Javaid, N., Khan, A., Muhammad, F.J., Zahid, M., Guizani, M.: Cloud-fog-based smart grid model for efficient resource utilization. In: 14th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC-2018) (2018)
3.
Fatima, I., Javaid, N., Javaid, S., Fatima, I., Nadeem, Z.: Region Oriented Integrated Fog and Cloud based Environment for Effective Resource Distribution in Smart Buildings. In: International Conference on CISIS (2018)
4.
Javaid, S., Javaid, N., Asla, S., Munir, K., Alam, M.: a cloud to fog to consumer based framework for intelligent resource allocation in smart buildings
5.
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) (2018)
6.
Luo, F., et al.: Cloud-based information infrastructure for next-generation power grid: conception, architecture, and applications. IEEE Trans. Smart Grid 7(4), 1896–1912 (2016)CrossRef
7.
Okay, F.Y., Ozdemir, S.: A fog computing based smart grid model. In: International Symposium on Networks, Computers and Communications (ISNCC), pp. 1–6. IEEE (2016)
8.
Bitzer, B., Gebretsadik, E.S.: Cloud computing framework for smart grid applications. In: Power Engineering Conference (UPEC), 2013 48th International Universities, p. 15 (2013)
9.
Bai, H., Ma, Z., Zhu, Y.: The application of cloud computing in smart grid status monitoring. Internet of Things, pp. 460–465. Springer, Berlin (2012)CrossRef
10.
Jin, X., He, Z., Liu, Z.: Multi-agent-based cloud architecture of smart grid. Energy Procedia 12, 6066 (2011)
11.
Mohsenian-Rad, A.H., Leon-Garcia, A.: Coordination of cloud computing and smart power grids. In: 2010 First IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 368–372 (2010)
12.
Stojmenovic, I., Wen, S.: The fog computing paradigm: Scenarios and security issues. In: Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, p. 18 (2014)
13.
Barik, R.K.: Leveraging Fog Computing for Enhanced Smart Grid Network
14.
Chekired, D.A., Khoukhi, L., Mouftah, H.T.: Smart grid solution for charging and discharging services based on cloud computing scheduling, Decentralized cloud-SDN architecture in smart grid: a dynamic pricing model. In: IEEE Transactions on Industrial Informatics, vol. 14, pp. 1220–1231, ISSN 1551-3203 (2018)CrossRef
15.
Ran, Y., et al.: Dynamic IaaS computing resource provisioning strategy with QoS constraint. IEEE Trans. Serv. Comput. 10(2), 190–202 (2017)CrossRef
16.
Guo, M., Guan, Q., Ke, W.: Optimal scheduling of VMs in queueing cloud computing systems with a heterogeneous workload. IEEE Access (2018)
17.
Rahim, M.H., Khalid, A., Javaid, N., Ashraf, M., Aurangzeb, K., Altamrah, A.S.: Exploiting game theoretic based coordination among appliances in smart homes for efficient energy utilization. Energies 11(6), 1–25 (2018)CrossRef
18.
Nadeem, Z., Javaid, N., Malik, A.W., Iqbal, S.: Scheduling appliances with GA, TLBO, FA, OSR and their hybrids using chance constrained optimization for smart homes. Energies 11(4), 888 (2018)CrossRef
19.
Khalid, A., Javaid, N., Guizani, M., Alhussein, M., Aurangzeb, K., Ilahi, M.: Towards dynamic coordination among home appliances using multi-objective energy optimization for demand side management in smart buildings. IEEE Access (2018)
20.
Ahmad, A., Javaid, N., Guizani, M., Alrajeh, N., Khan, Z.A.: An accurate and fast converging short-term load forecasting model for industrial applications in a smart grid. IEEE Trans. Ind. Inform. 13(5), 2587–2596 (2017)CrossRef
Metadaten
Titel
Cloud-Fog Based Load Balancing Using Shortest Remaining Time First Optimization
verfasst von
Muhammad Zakria
Nadeem Javaid
Muhammad Ismail
Muhammad Zubair
Muhammad Asad Zaheer
Faizan Saeed
Copyright-Jahr
2019
Buch
Advances on P2P, Parallel, Grid, Cloud and Internet Computing

Print ISBN: 978-3-030-02606-6

Electronic ISBN: 978-3-030-02607-3

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-02607-3_19

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