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2019 | OriginalPaper | Chapter

Hill Climbing Load Balancing Algorithm on Fog Computing

Authors : Maheen Zahid, Nadeem Javaid, Kainat Ansar, Kanza Hassan, Muhammad KaleemUllah Khan, Mohammad Waqas

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

Publisher: Springer International Publishing

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Abstract

Cloud Computing (CC) concept is an emerging field of technology. It provides shared resources through its own Data Centers (DC’s), Virtual Machines (VM’s) and servers. People now shift their data on cloud for permanent storage and online easily approachable. Fog is the extended version of cloud. It gives more features than cloud and it is a temporary storage, easily accessible and secure for consumers. Smart Grid (SG) is the way which fulfills the demand of electricity of consumers according to their requirements. Micro Grid (MG) is a part of SG. So there is a need to balance load of requests on fog using VM’s. Response Time (RT), Processing Time (PT) and delay are three main factors which, discussed in this paper with Hill Climbing Load Balancing (HCLB) technique with Optimize best RT service broker policy.

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Metadata
Title
Hill Climbing Load Balancing Algorithm on Fog Computing
Authors
Maheen Zahid
Nadeem Javaid
Kainat Ansar
Kanza Hassan
Muhammad KaleemUllah Khan
Mohammad Waqas
Copyright Year
2019
Book
Advances on P2P, Parallel, Grid, Cloud and Internet Computing

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

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

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-02607-3_22